What is Cobre and what do we do?

Cobre is Latin America’s leading instant b2b payments platform. We solve the region’s most complex money movement challenges by building advanced financial infrastructure that enables companies to move money faster, safer, and more efficiently.

We enable instant business payments—local or international, direct or via API—all from a single platform.

Built for fintechs, PSPs, banks, and finance teams that demand speed, control, and efficiency. From real-time payments to automated treasury, we turn complex financial processes into simple experiences.

Cobre is the first platform in Colombia to enable companies to pay both banked and unbanked beneficiaries within the same payment cycle and through a single interface.

We are building the enterprise payments infrastructure of Latin America!

What we are looking for:

The Digital Growth Marketing Lead will be responsible for leading and scaling Cobre's digital growth strategy, integrating organic and paid acquisition channels with a product-led vision. This role combines strategic thinking with hands-on execution, owning the digital ecosystem that drives brand visibility, demand generation, and product positioning.

The Growth Marketing Lead will act as a bridge between marketing, product, and sales, leading SEO/GEO initiatives, website management, multichannel campaigns, and the adoption of artificial intelligence to multiply results. We're looking for someone who not only designs the strategy but rolls up their sleeves and executes it, with a startup mindset and a focus on measurable impact.

What would you be doing:

Digital Ecosystem Ownership

• Lead the comprehensive SEO, GEO, and LLM optimization strategy, ensuring Cobre is discoverable and relevant across traditional search engines and generative AI platforms.
• Manage and evolve the website on Webflow as the central conversion asset, optimizing experience, performance, and content.
• Orchestrate paid and organic channels as a coherent, integrated system, maximizing synergy between investment and organic growth.

Product Marketing Vision Across Digital Channels

• Design and execute acquisition and upselling campaigns that drive visibility and positioning for Cobre's products.
• Position Cobre as a product-driven and data-driven company through technical content, use cases, and thought leadership.
• Translate product features into value messages that resonate with CFOs, treasury teams, and financial technology leaders.

Leadership in AI Adoption for Marketing

• Identify and implement AI tools that optimize marketing processes, from content creation to data analysis.
• Scale the marketing team's output by leveraging intelligent automation and AI-powered workflows.
• Demonstrate through metrics how AI multiplies results in content generation, campaign analysis, and channel optimization.

Collaboration with Internal Teams

• Sales: align campaigns with funnel needs, provide qualified leads and support materials.
• Field Marketing: integrate digital initiatives with events and field campaigns to amplify results.
• Product Marketing: coordinate product launches, messaging, and positioning across digital channels.
• Brand: ensure brand consistency across all digital executions.

What do you need:

Experience:

• 6+ years in growth marketing, demand generation, product management, or digital marketing roles in B2B environments (ideally in fintech, SaaS, or tech startups).
• Proven track record leading acquisition strategies: SEO/SEM, paid media (Facebook Ads, Google Ads, LinkedIn Ads), and website optimization as a conversion asset.
• Experience managing multidisciplinary teams and squads (design, development, analytics).
• Nice to have: experience in Product Marketing.

Hard Skills:

• Proficiency in SEO tools (Ahrefs, SEMrush, Search Console) and analytics platforms (GA4, Looker Studio).
• Experience managing six-figure USD paid media budgets and optimizing CAC.
• Knowledge of CRO, A/B testing, and conversion funnel experimentation.
• Familiarity with generative AI tools and their application in marketing.
• Experience with modern CMS platforms (Webflow, Contentful, or similar).
• Advanced English (required).

Soft Skills:

• Strategic yet hands-on profile: ability to set direction and dive into execution.
• Business acumen and focus on measurable results (pipeline, MQLs, CAC, conversion).
• Constant curiosity about new technologies, AI, and growth trends.
• Team leadership with a focus on development and well-being.
• Excellent communication and cross-functional collaboration skills.
• Resilience and adaptability in fast-paced environments.

Role Summary and Impact

The Total Search Practice Senior Director, LATAM will lead the strategic growth and evolution of WPP Media’s Total Search practice across the region. This role oversees Paid Search, Organic Search, and Generative Engine Optimisation (GEO), driving innovation, commercial performance, and AI-powered search transformation across agencies and clients. The role is responsible for positioning brands to succeed in an evolving search landscape shaped by LLMs and generative engines such as ChatGPT, Gemini, and Perplexity.

Key Responsibilities

• Lead the regional Total Search strategy across Paid Search, SEO, and GEO, ensuring strong commercial performance, product adoption, and operational excellence.
• Drive growth opportunities, client engagement, and strategic pitches, acting as the senior search leader for key regional opportunities.
• Build integrated search solutions that connect media, commerce, content, and AI-driven discovery strategies.
• Develop market-leading GEO capabilities to improve brand visibility, authority, and recommendation rates across generative engines.
• Establish best practices, governance, automation, and training programs to scale high-quality delivery across LATAM markets.
• Provide thought leadership on the future of search and AI, representing WPP Media with clients, partners, and industry forums.
• Lead, coach, and develop high-performing multidisciplinary teams while strengthening collaboration across WPP agencies and strategic partners.

Skills and Experience 

If this opportunity looks right for you, we are looking for candidates who have: 

• 10+ years of experience in Search Marketing, including Paid Search and SEO, with a strong track record of business growth and innovation.
• Strong commercial acumen, including experience building search solutions, driving revenue growth, and managing complex client portfolios.
• Deep understanding of AI, Large Language Models (LLMs), Generative Engines, and the future of search behavior.
• Strong leadership and stakeholder management skills within matrixed and cross-functional environments.
• Executive presence with experience supporting strategic pitches and engaging senior client stakeholders.
• Strong analytical and strategic thinking skills, with the ability to translate emerging trends into scalable business solutions.
• Fluent in collaborating across global organizations, agency ecosystems, and key technology partners such as Google and Microsoft.

Life at WPP Media & Benefits 

Our passion for shaping the next era of media is powered by our commitment to Be Extraordinary, investing in our employees to inspire transformational creativity. We also Lead Optimistically, firmly believing in and Championing Growth and Development for every individual. This commitment allows WPP Media employees to leverage the extensive global WPP Media & WPP networks to pursue their passions, build vital professional connections, and learn at the cutting edge of marketing and advertising.  

We Create an Open environment built on trust and respect, where everyone feels they belong and has opportunities to progress. This inclusive culture is fostered through a variety of employee resource groups and frequent in-office events showcasing team wins, sharing thought leadership, and celebrating holidays and milestone events. Our comprehensive benefits package reflects this commitment, including competitive medical, group retirement plans, vision, and dental insurance, significant paid time off, preferential partner discounts, and employee mental health awareness days.  

WPP Media is an equal opportunity employer and considers applicants for all positions without discrimination or regard to characteristics. We believe the best work happens when we're together, fostering creativity, collaboration, and connection in this open and supportive environment. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process.  Please note that while our philosophy is the same across WPP, benefits may vary by office/country.

Why You'll Love This Role: 

We're looking for an experienced ML Ops Engineer to join the ML/AI team at Newsela. This team works on projects ranging from classical Machine Learning to AI / Generative pipelines.  This is a hands-on role. You'll work closely with ML/AI, data and site reliability engineers to take models from prototype to production, build robust data pipelines, and keep our services running smoothly as we continue to scale.

What You'll Be Doing:

• Design and maintain CI/CD pipelines for ML model training, packaging, and deployment across our microservices.
• Manage containerized services on AWS ECS, optimizing for cost, latency, and availability.
• Automate infrastructure provisioning and service configuration with Terraform.
• Work to maintain and scale services that make use of third party LLM providers.
• Build and improve data pipelines that feed models from BigQuery, S3, and DynamoDB into training and inference workflows.
• Instrument services with observability tooling (Datadog, OpenTelemetry, Langfuse) and establish SLOs for model-serving endpoints.
• Collaborate with ML engineers to productionize new models using BentoML, FastAPI, and container-based serving.

About You:

• 2-3 years in ML Ops supporting ML/AI features, systems and workflows with 3-4 years prior experience in DevOps, CloudOps or SRE.
• Strong proficiency in Python.
• Hands-on experience with Docker containerization and container orchestration.
• Solid understanding of CI/CD for ML workflows in an enterprise production environment.
• Experience with Infrastructure as Code, preferably Terraform.
• Familiarity with cloud platforms — specifically AWS (ECS, ECR, S3, DynamoDB, CloudWatch) and GCP (BigQuery, Vertex AI).
• Experience with LLM integration and observability (OpenAI API, Google GenAI, Langfuse tracing).
• Experience building and maintaining data pipelines for ML training and feature engineering
• Familiarity with ML modeling workflows — training, evaluation, experiment tracking (e.g. MLFlow, Weights & Biases), and model versioning
• Experience monitoring and flagging model drift over time.
• Exposure to NLP/NLU models and frameworks such as Hugging Face Transformers, spaCy, or sentence-transformers
• Knowledge of vector databases (LanceDB, FAISS) and embedding-based retrieval systems
• Experience with scaling and maintaining deep learning frameworks (TensorFlow, PyTorch) in production settings
• Familiarity with classical ML libraries (scikit-learn, XGBoost, LightGBM) and model explainability tools (SHAP)
• Working knowledge of ML serving frameworks such as BentoML or similar.
• Comfort working with FastAPI or similar async Python web frameworks.

Please note that given the nature of the contract, this role will not be eligible to participate in company-sponsored benefits

About Newsela:

Newsela is a leading education technology company dedicated to meaningful classroom learning for every student. We deliver integrated, AI-powered solutions designed to unlock student engagement, empower teachers, and drive meaningful learning outcomes. Our suite of products supports knowledge and skill development, writing practice, daily instruction, assessment, and data-informed decision-making across K–12 classrooms. Grounded in learning science research, Newsela’s solutions integrate content, assessment, and analytics to help educators track progress, understand student outcomes, and deliver high-impact instruction that supports every learner.

#LI-Remote

Who We Are

Build. Scale. Sustain. 

PALO IT is a global technology consultancy that crafts tech as a force for good. We design, develop and scale digital and sustainable products and services to unlock value across the triple bottom line: people, planet, profit. We do the right thing, and we do it right. We're proud to be a World Economic Forum New Champion, and a B Corp-certified company. 

• We are small enough to care locally, big enough to deliver globally (5 continents, 18 offices, +500 experts from +50 nationalities)
• We are robust and resilient (100% independent and 0 debt)
• We are entrepreneurs and passionate experts: We invest in what we believe genuinely and work as a collective intelligence
• We are positive, courageous, caring, doers and committed to excellence

About Gen-e2

While the market is still largely AI-augmenting delivery, we have reinvented the SDLC to be AI First. Our approach is a game-changer in productivity and quality, with a strong collaboration between IA generative and our best Talents:

• We now generate 95% of the entire product — code, documentation, infrastructure as code, and even design — with GitHub Copilot.
• The quality consistently exceeds the output of our best traditional engineering teams.
• A product repository houses all product artefacts, giving AI full project context for higher-quality generation.
• A library of rules and prompts defines coding standards, design principles, and security guidelines, ensuring enterprise-grade quality and scalability.

With Gen-e2, we deliver end-to-end products 2–3× faster than traditional approaches, while raising the bar for engineering excellence.

Your role

You will act hands-on cybersecurity specialist responsible for the operation and evolution of the Cyber SOC across Chile and Colombia. This is a highly operational role focused on incident response, threat detection and continuous security improvement. 

• Manage the daily operation and monitoring of the Cyber SOC across multiple countries
• Analyze SIEM alerts and manage critical security incidents (Level 3)
• Perform threat hunting activities and proactively identify emerging risks
• Operate and optimize security tools: SIEM, EDR, WAF, IPS, Antivirus
• Participate in war rooms and crisis response for high-impact incidents
• Automate repetitive tasks and enhance detection capabilities
• Develop Proofs of Concept (POCs) to strengthen regional cybersecurity capabilities
• Design SIEM use cases, correlation rules, and detection strategies
• Collaborate with cross-functional and regional teams without direct reports
• Contribute to building a scalable Cyber SOC model across LATAM

Who You Are

• 5+ years of experience in Information Security
• 2-3 years of strong hands-on experience in SOC operations, Blue Team, or Incident Response (L3)
• Proven experience working with SIEM tools (Splunk, QRadar, ELK, Wazuh, etc.)
• Solid knowledge of EDR, vulnerability scanners, firewalls, and network security tools
• Experience with frameworks such as NIST, ISO 27001, CIS Controls
• Strong understanding of MITRE ATT&CK, OWASP, Zero Trust principles
• Hands-on mindset: autonomous, proactive, analytical, and solution-oriented
• Experience with scripting/automation (Python, Bash, PowerShell) is a plus
• Experience in regulated or critical environments is a plus
• Certifications such as CEH, Security+, GCIH, or similar are a plus
• English level: B2 

More About PALO IT

We’re eager to adapt to change, learn from our experiences and move to meet our planet’s urgent needs. We are continuously taking action to:

• Become a climate net-zero company
• Deliver projects with a positive impact
• Train 100% of our workforce on impact
• Achieve B Corp certification among all our offices across the globe
• Continuously measure & improve employee happiness

Our clients are amongst the world's most successful companies. We innovate with both established Fortune 1000s, SMEs and start-ups who aim to make an impact, become global leaders and address the world's most complex challenges.

What We Offer

• Stimulating working environments
• Unique career path
• International mobility
• Internal R&D projects
• Knowledge sharing
• Personalized training
• Entrepreneurship & intrapreneurship

For more on our team culture and benefits:

Check out our careers page
And our PALOCast with direct testimonies from our Palowans!

PALO IT is an equal opportunity employer that values merit, qualifications, and abilities. We prioritize privacy and data security.

The salary range for this role is $50,000 - $120,000 per year (Gross in USD) 

About Sezzle:

With a mission to financially empower the next generation, Sezzle is revolutionizing the shopping experience beyond payments, blending cutting-edge tech with seamless, interest-free installment plans that make shopping smarter and more accessible. We’re not just transforming payments; we’re redefining how people discover, interact with, and purchase the things they love while driving real impact on merchant sales through increased conversions and higher order values. As we continue to shape the future of fintech and retail, we’re building an innovative, dynamic team passionate about creating more than just a transaction but a truly unique shopping journey. If you’re excited about pushing boundaries in tech and delivering a game-changing experience for consumers and merchants alike, come join us at Sezzle and help create the future of shopping!

About the Role: 

We are seeking a talented and motivated  Sr. AI engineer who is best in class with a high IQ plus a high EQ. This role presents an exciting opportunity to thrive in a dynamic, fast-paced environment within a rapidly growing team, with abundant prospects for career advancement.

You will be responsible for overseeing the design, development, and deployment of machine learning models that power and enhance our financial platform. In this role, you will drive the creation of scalable machine learning solutions for personalized recommendations in the Sezzle marketplace, fraud detection, and credit risk assessment, utilizing a combination of cloud services, open-source tools, and proprietary algorithms.

Your leadership will be key in blending machine learning development and operations (MLOps) to automate and optimize the full lifecycle of our ML models. You will collaborate with a team of engineers and data scientists to build large-scale, high-quality solutions that address diverse challenges in the shopping and fintech space. You’ll ensure our AI-driven features are robust, efficient, and scalable as we continue to grow.

What You'll Do:

• Design, Build, and Maintain Scalable ML Infrastructure: Lead the design and development of scalable machine learning infrastructure on AWS, utilizing services like AWS Sagemaker for efficient model training and deployment.
• Collaborate with Product Teams: Work closely with product teams to develop MVPs for AI-driven features, ensuring quick iterations and market testing to refine solutions effectively.
• Develop Monitoring & Alerting Frameworks: Create and enhance monitoring and alerting systems for machine learning models to ensure high performance, reliability, and minimal downtime.
• Support Cross-Departmental AI Utilization: Enable various departments within the organization to leverage AI/ML models, including cutting-edge Generative AI solutions, for different use cases.
• Provide Production Support: Offer expertise in debugging and resolving issues related to machine learning models in production, participating in on-call rotations for operational troubleshooting and incident resolution.
• Scale ML Architecture: Design and scale machine learning architecture to support rapid user growth, leveraging deep knowledge of AWS and ML best practices to ensure robustness and efficiency.
• Mentor and Elevate Team Skills: Conduct code reviews, mentor team members, and elevate overall team capabilities through knowledge sharing and collaboration.
• Stay Ahead of the Curve: Stay updated with the latest advancements in machine learning technologies and AWS services, driving the adoption of cutting-edge solutions to maintain a competitive edge.

What We Look For:

• Bachelor's degree in Computer Science, Computer Engineering, Machine Learning, Statistics, Physics, or a relevant technical field, or equivalent practical experience.
• At least 6+ years of experience in machine learning engineering, with demonstrated success in deploying scalable ML models in a production environment.

Preferred Qualifications:

• Deep expertise in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining, artificial intelligence, or related technical fields.
• Proven track record of developing machine learning models from inception to business impact, demonstrating the ability to solve complex challenges with innovative solutions.
• Proficiency with Python is required, and experience with Golang is a plus.
• Demonstrated technical leadership in guiding teams, owning end-to-end projects, and setting the technical direction to achieve project goals efficiently.
• Experience working with relational databases, data warehouses, and using SQL to explore them.
• Strong familiarity with AWS cloud services, especially in deploying and managing machine learning solutions and scaling them in a cost-effective manner.
• Knowledgeable in Kubernetes, Docker, and CI/CD pipelines for efficient deployment and management of ML models.
• Comfortable with monitoring and observability tools tailored for machine learning models (e.g., Prometheus, Grafana, AWS CloudWatch) and experienced in developing recommender systems or enhancing user experiences through personalized recommendations.
• Solid foundation in data processing and pipeline frameworks (e.g., Apache Spark, Kafka) for handling real-time data streams.

About You:

• You have relentlessly high standards - many people may think your standards are unreasonably high. You are continually raising the bar and driving those around you to deliver great results. You make sure that defects do not get sent down the line and that problems are fixed so they stay fixed.
• You’re not bound by convention - your success—and much of the fun—lies in developing new ways to do things
• You need action - speed matters in business. Many decisions and actions are reversible and do not need extensive study. We value calculated risk-taking.
• You earn trust - you listen attentively, speak candidly, and treat others respectfully.
• You have backbone; disagree, then commit - you can respectfully challenge decisions when you disagree, even when doing so is uncomfortable or exhausting. You have conviction and are tenacious. You do not compromise for the sake of social cohesion. Once a decision is determined, you commit wholly.
• You deliver results - you focus on the key inputs and deliver them with the right quality and in a timely fashion. Despite setbacks, you rise to the occasion and never settle.

What Makes Working at Sezzle Awesome:

At Sezzle, we are more than just brilliant engineers, passionate data enthusiasts, out-of-the-box thinkers, and determined innovators. We believe in surrounding ourselves with only the best and the brightest individuals. Our culture is not defined by a certain set of perks designed to give the illusion of the traditional startup culture, but rather, it is the visible example living in every employee that we hire. 

#Li-remote #full-time

The salary range for this role is $50,000 - $120,000 per year (Gross in USD) 

About Sezzle:

With a mission to financially empower the next generation, Sezzle is revolutionizing the shopping experience beyond payments, blending cutting-edge tech with seamless, interest-free installment plans that make shopping smarter and more accessible. We’re not just transforming payments; we’re redefining how people discover, interact with, and purchase the things they love while driving real impact on merchant sales through increased conversions and higher order values. As we continue to shape the future of fintech and retail, we’re building an innovative, dynamic team passionate about creating more than just a transaction but a truly unique shopping journey. If you’re excited about pushing boundaries in tech and delivering a game-changing experience for consumers and merchants alike, come join us at Sezzle and help create the future of shopping!

About the Role: 

We are seeking a talented and motivated  Sr. AI engineer who is best in class with a high IQ plus a high EQ. This role presents an exciting opportunity to thrive in a dynamic, fast-paced environment within a rapidly growing team, with abundant prospects for career advancement.

You will be responsible for overseeing the design, development, and deployment of machine learning models that power and enhance our financial platform. In this role, you will drive the creation of scalable machine learning solutions for personalized recommendations in the Sezzle marketplace, fraud detection, and credit risk assessment, utilizing a combination of cloud services, open-source tools, and proprietary algorithms.

Your leadership will be key in blending machine learning development and operations (MLOps) to automate and optimize the full lifecycle of our ML models. You will collaborate with a team of engineers and data scientists to build large-scale, high-quality solutions that address diverse challenges in the shopping and fintech space. You’ll ensure our AI-driven features are robust, efficient, and scalable as we continue to grow.

What You'll Do:

• Design, Build, and Maintain Scalable ML Infrastructure: Lead the design and development of scalable machine learning infrastructure on AWS, utilizing services like AWS Sagemaker for efficient model training and deployment.
• Collaborate with Product Teams: Work closely with product teams to develop MVPs for AI-driven features, ensuring quick iterations and market testing to refine solutions effectively.
• Develop Monitoring & Alerting Frameworks: Create and enhance monitoring and alerting systems for machine learning models to ensure high performance, reliability, and minimal downtime.
• Support Cross-Departmental AI Utilization: Enable various departments within the organization to leverage AI/ML models, including cutting-edge Generative AI solutions, for different use cases.
• Provide Production Support: Offer expertise in debugging and resolving issues related to machine learning models in production, participating in on-call rotations for operational troubleshooting and incident resolution.
• Scale ML Architecture: Design and scale machine learning architecture to support rapid user growth, leveraging deep knowledge of AWS and ML best practices to ensure robustness and efficiency.
• Mentor and Elevate Team Skills: Conduct code reviews, mentor team members, and elevate overall team capabilities through knowledge sharing and collaboration.
• Stay Ahead of the Curve: Stay updated with the latest advancements in machine learning technologies and AWS services, driving the adoption of cutting-edge solutions to maintain a competitive edge.

What We Look For:

• Bachelor's degree in Computer Science, Computer Engineering, Machine Learning, Statistics, Physics, or a relevant technical field, or equivalent practical experience.
• At least 6+ years of experience in machine learning engineering, with demonstrated success in deploying scalable ML models in a production environment.

Preferred Qualifications:

• Deep expertise in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining, artificial intelligence, or related technical fields.
• Proven track record of developing machine learning models from inception to business impact, demonstrating the ability to solve complex challenges with innovative solutions.
• Proficiency with Python is required, and experience with Golang is a plus.
• Demonstrated technical leadership in guiding teams, owning end-to-end projects, and setting the technical direction to achieve project goals efficiently.
• Experience working with relational databases, data warehouses, and using SQL to explore them.
• Strong familiarity with AWS cloud services, especially in deploying and managing machine learning solutions and scaling them in a cost-effective manner.
• Knowledgeable in Kubernetes, Docker, and CI/CD pipelines for efficient deployment and management of ML models.
• Comfortable with monitoring and observability tools tailored for machine learning models (e.g., Prometheus, Grafana, AWS CloudWatch) and experienced in developing recommender systems or enhancing user experiences through personalized recommendations.
• Solid foundation in data processing and pipeline frameworks (e.g., Apache Spark, Kafka) for handling real-time data streams.

About You:

• You have relentlessly high standards - many people may think your standards are unreasonably high. You are continually raising the bar and driving those around you to deliver great results. You make sure that defects do not get sent down the line and that problems are fixed so they stay fixed.
• You’re not bound by convention - your success—and much of the fun—lies in developing new ways to do things
• You need action - speed matters in business. Many decisions and actions are reversible and do not need extensive study. We value calculated risk-taking.
• You earn trust - you listen attentively, speak candidly, and treat others respectfully.
• You have backbone; disagree, then commit - you can respectfully challenge decisions when you disagree, even when doing so is uncomfortable or exhausting. You have conviction and are tenacious. You do not compromise for the sake of social cohesion. Once a decision is determined, you commit wholly.
• You deliver results - you focus on the key inputs and deliver them with the right quality and in a timely fashion. Despite setbacks, you rise to the occasion and never settle.

What Makes Working at Sezzle Awesome:

At Sezzle, we are more than just brilliant engineers, passionate data enthusiasts, out-of-the-box thinkers, and determined innovators. We believe in surrounding ourselves with only the best and the brightest individuals. Our culture is not defined by a certain set of perks designed to give the illusion of the traditional startup culture, but rather, it is the visible example living in every employee that we hire. 

#Li-remote #full-time

The salary range for this role is $50,000 - $120,000 per year (Gross in USD) 

About Sezzle:

With a mission to financially empower the next generation, Sezzle is revolutionizing the shopping experience beyond payments, blending cutting-edge tech with seamless, interest-free installment plans that make shopping smarter and more accessible. We’re not just transforming payments; we’re redefining how people discover, interact with, and purchase the things they love while driving real impact on merchant sales through increased conversions and higher order values. As we continue to shape the future of fintech and retail, we’re building an innovative, dynamic team passionate about creating more than just a transaction but a truly unique shopping journey. If you’re excited about pushing boundaries in tech and delivering a game-changing experience for consumers and merchants alike, come join us at Sezzle and help create the future of shopping!

About the Role: 

We are seeking a talented and motivated  Sr. AI engineer who is best in class with a high IQ plus a high EQ. This role presents an exciting opportunity to thrive in a dynamic, fast-paced environment within a rapidly growing team, with abundant prospects for career advancement.

You will be responsible for overseeing the design, development, and deployment of machine learning models that power and enhance our financial platform. In this role, you will drive the creation of scalable machine learning solutions for personalized recommendations in the Sezzle marketplace, fraud detection, and credit risk assessment, utilizing a combination of cloud services, open-source tools, and proprietary algorithms.

Your leadership will be key in blending machine learning development and operations (MLOps) to automate and optimize the full lifecycle of our ML models. You will collaborate with a team of engineers and data scientists to build large-scale, high-quality solutions that address diverse challenges in the shopping and fintech space. You’ll ensure our AI-driven features are robust, efficient, and scalable as we continue to grow.

What You'll Do:

• Design, Build, and Maintain Scalable ML Infrastructure: Lead the design and development of scalable machine learning infrastructure on AWS, utilizing services like AWS Sagemaker for efficient model training and deployment.
• Collaborate with Product Teams: Work closely with product teams to develop MVPs for AI-driven features, ensuring quick iterations and market testing to refine solutions effectively.
• Develop Monitoring & Alerting Frameworks: Create and enhance monitoring and alerting systems for machine learning models to ensure high performance, reliability, and minimal downtime.
• Support Cross-Departmental AI Utilization: Enable various departments within the organization to leverage AI/ML models, including cutting-edge Generative AI solutions, for different use cases.
• Provide Production Support: Offer expertise in debugging and resolving issues related to machine learning models in production, participating in on-call rotations for operational troubleshooting and incident resolution.
• Scale ML Architecture: Design and scale machine learning architecture to support rapid user growth, leveraging deep knowledge of AWS and ML best practices to ensure robustness and efficiency.
• Mentor and Elevate Team Skills: Conduct code reviews, mentor team members, and elevate overall team capabilities through knowledge sharing and collaboration.
• Stay Ahead of the Curve: Stay updated with the latest advancements in machine learning technologies and AWS services, driving the adoption of cutting-edge solutions to maintain a competitive edge.

What We Look For:

• Bachelor's degree in Computer Science, Computer Engineering, Machine Learning, Statistics, Physics, or a relevant technical field, or equivalent practical experience.
• At least 6+ years of experience in machine learning engineering, with demonstrated success in deploying scalable ML models in a production environment.

Preferred Qualifications:

• Deep expertise in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining, artificial intelligence, or related technical fields.
• Proven track record of developing machine learning models from inception to business impact, demonstrating the ability to solve complex challenges with innovative solutions.
• Proficiency with Python is required, and experience with Golang is a plus.
• Demonstrated technical leadership in guiding teams, owning end-to-end projects, and setting the technical direction to achieve project goals efficiently.
• Experience working with relational databases, data warehouses, and using SQL to explore them.
• Strong familiarity with AWS cloud services, especially in deploying and managing machine learning solutions and scaling them in a cost-effective manner.
• Knowledgeable in Kubernetes, Docker, and CI/CD pipelines for efficient deployment and management of ML models.
• Comfortable with monitoring and observability tools tailored for machine learning models (e.g., Prometheus, Grafana, AWS CloudWatch) and experienced in developing recommender systems or enhancing user experiences through personalized recommendations.
• Solid foundation in data processing and pipeline frameworks (e.g., Apache Spark, Kafka) for handling real-time data streams.

About You:

• You have relentlessly high standards - many people may think your standards are unreasonably high. You are continually raising the bar and driving those around you to deliver great results. You make sure that defects do not get sent down the line and that problems are fixed so they stay fixed.
• You’re not bound by convention - your success—and much of the fun—lies in developing new ways to do things
• You need action - speed matters in business. Many decisions and actions are reversible and do not need extensive study. We value calculated risk-taking.
• You earn trust - you listen attentively, speak candidly, and treat others respectfully.
• You have backbone; disagree, then commit - you can respectfully challenge decisions when you disagree, even when doing so is uncomfortable or exhausting. You have conviction and are tenacious. You do not compromise for the sake of social cohesion. Once a decision is determined, you commit wholly.
• You deliver results - you focus on the key inputs and deliver them with the right quality and in a timely fashion. Despite setbacks, you rise to the occasion and never settle.

What Makes Working at Sezzle Awesome:

At Sezzle, we are more than just brilliant engineers, passionate data enthusiasts, out-of-the-box thinkers, and determined innovators. We believe in surrounding ourselves with only the best and the brightest individuals. Our culture is not defined by a certain set of perks designed to give the illusion of the traditional startup culture, but rather, it is the visible example living in every employee that we hire. 

#Li-remote #full-time

The salary range for this role is $50,000 - $120,000 per year (Gross in USD) 

About Sezzle:

With a mission to financially empower the next generation, Sezzle is revolutionizing the shopping experience beyond payments, blending cutting-edge tech with seamless, interest-free installment plans that make shopping smarter and more accessible. We’re not just transforming payments; we’re redefining how people discover, interact with, and purchase the things they love while driving real impact on merchant sales through increased conversions and higher order values. As we continue to shape the future of fintech and retail, we’re building an innovative, dynamic team passionate about creating more than just a transaction but a truly unique shopping journey. If you’re excited about pushing boundaries in tech and delivering a game-changing experience for consumers and merchants alike, come join us at Sezzle and help create the future of shopping!

About the Role: 

We are seeking a talented and motivated  Sr. AI engineer who is best in class with a high IQ plus a high EQ. This role presents an exciting opportunity to thrive in a dynamic, fast-paced environment within a rapidly growing team, with abundant prospects for career advancement.

You will be responsible for overseeing the design, development, and deployment of machine learning models that power and enhance our financial platform. In this role, you will drive the creation of scalable machine learning solutions for personalized recommendations in the Sezzle marketplace, fraud detection, and credit risk assessment, utilizing a combination of cloud services, open-source tools, and proprietary algorithms.

Your leadership will be key in blending machine learning development and operations (MLOps) to automate and optimize the full lifecycle of our ML models. You will collaborate with a team of engineers and data scientists to build large-scale, high-quality solutions that address diverse challenges in the shopping and fintech space. You’ll ensure our AI-driven features are robust, efficient, and scalable as we continue to grow.

What You'll Do:

• Design, Build, and Maintain Scalable ML Infrastructure: Lead the design and development of scalable machine learning infrastructure on AWS, utilizing services like AWS Sagemaker for efficient model training and deployment.
• Collaborate with Product Teams: Work closely with product teams to develop MVPs for AI-driven features, ensuring quick iterations and market testing to refine solutions effectively.
• Develop Monitoring & Alerting Frameworks: Create and enhance monitoring and alerting systems for machine learning models to ensure high performance, reliability, and minimal downtime.
• Support Cross-Departmental AI Utilization: Enable various departments within the organization to leverage AI/ML models, including cutting-edge Generative AI solutions, for different use cases.
• Provide Production Support: Offer expertise in debugging and resolving issues related to machine learning models in production, participating in on-call rotations for operational troubleshooting and incident resolution.
• Scale ML Architecture: Design and scale machine learning architecture to support rapid user growth, leveraging deep knowledge of AWS and ML best practices to ensure robustness and efficiency.
• Mentor and Elevate Team Skills: Conduct code reviews, mentor team members, and elevate overall team capabilities through knowledge sharing and collaboration.
• Stay Ahead of the Curve: Stay updated with the latest advancements in machine learning technologies and AWS services, driving the adoption of cutting-edge solutions to maintain a competitive edge.

What We Look For:

• Bachelor's degree in Computer Science, Computer Engineering, Machine Learning, Statistics, Physics, or a relevant technical field, or equivalent practical experience.
• At least 6+ years of experience in machine learning engineering, with demonstrated success in deploying scalable ML models in a production environment.

Preferred Qualifications:

• Deep expertise in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining, artificial intelligence, or related technical fields.
• Proven track record of developing machine learning models from inception to business impact, demonstrating the ability to solve complex challenges with innovative solutions.
• Proficiency with Python is required, and experience with Golang is a plus.
• Demonstrated technical leadership in guiding teams, owning end-to-end projects, and setting the technical direction to achieve project goals efficiently.
• Experience working with relational databases, data warehouses, and using SQL to explore them.
• Strong familiarity with AWS cloud services, especially in deploying and managing machine learning solutions and scaling them in a cost-effective manner.
• Knowledgeable in Kubernetes, Docker, and CI/CD pipelines for efficient deployment and management of ML models.
• Comfortable with monitoring and observability tools tailored for machine learning models (e.g., Prometheus, Grafana, AWS CloudWatch) and experienced in developing recommender systems or enhancing user experiences through personalized recommendations.
• Solid foundation in data processing and pipeline frameworks (e.g., Apache Spark, Kafka) for handling real-time data streams.

About You:

• You have relentlessly high standards - many people may think your standards are unreasonably high. You are continually raising the bar and driving those around you to deliver great results. You make sure that defects do not get sent down the line and that problems are fixed so they stay fixed.
• You’re not bound by convention - your success—and much of the fun—lies in developing new ways to do things
• You need action - speed matters in business. Many decisions and actions are reversible and do not need extensive study. We value calculated risk-taking.
• You earn trust - you listen attentively, speak candidly, and treat others respectfully.
• You have backbone; disagree, then commit - you can respectfully challenge decisions when you disagree, even when doing so is uncomfortable or exhausting. You have conviction and are tenacious. You do not compromise for the sake of social cohesion. Once a decision is determined, you commit wholly.
• You deliver results - you focus on the key inputs and deliver them with the right quality and in a timely fashion. Despite setbacks, you rise to the occasion and never settle.

What Makes Working at Sezzle Awesome:

At Sezzle, we are more than just brilliant engineers, passionate data enthusiasts, out-of-the-box thinkers, and determined innovators. We believe in surrounding ourselves with only the best and the brightest individuals. Our culture is not defined by a certain set of perks designed to give the illusion of the traditional startup culture, but rather, it is the visible example living in every employee that we hire. 

#Li-remote #full-time

The salary range for this role is $50,000 - $120,000 per year (Gross in USD) 

About Sezzle:

With a mission to financially empower the next generation, Sezzle is revolutionizing the shopping experience beyond payments, blending cutting-edge tech with seamless, interest-free installment plans that make shopping smarter and more accessible. We’re not just transforming payments; we’re redefining how people discover, interact with, and purchase the things they love while driving real impact on merchant sales through increased conversions and higher order values. As we continue to shape the future of fintech and retail, we’re building an innovative, dynamic team passionate about creating more than just a transaction but a truly unique shopping journey. If you’re excited about pushing boundaries in tech and delivering a game-changing experience for consumers and merchants alike, come join us at Sezzle and help create the future of shopping!

About the Role: 

We are seeking a talented and motivated  Sr. AI engineer who is best in class with a high IQ plus a high EQ. This role presents an exciting opportunity to thrive in a dynamic, fast-paced environment within a rapidly growing team, with abundant prospects for career advancement.

You will be responsible for overseeing the design, development, and deployment of machine learning models that power and enhance our financial platform. In this role, you will drive the creation of scalable machine learning solutions for personalized recommendations in the Sezzle marketplace, fraud detection, and credit risk assessment, utilizing a combination of cloud services, open-source tools, and proprietary algorithms.

Your leadership will be key in blending machine learning development and operations (MLOps) to automate and optimize the full lifecycle of our ML models. You will collaborate with a team of engineers and data scientists to build large-scale, high-quality solutions that address diverse challenges in the shopping and fintech space. You’ll ensure our AI-driven features are robust, efficient, and scalable as we continue to grow.

What You'll Do:

• Design, Build, and Maintain Scalable ML Infrastructure: Lead the design and development of scalable machine learning infrastructure on AWS, utilizing services like AWS Sagemaker for efficient model training and deployment.
• Collaborate with Product Teams: Work closely with product teams to develop MVPs for AI-driven features, ensuring quick iterations and market testing to refine solutions effectively.
• Develop Monitoring & Alerting Frameworks: Create and enhance monitoring and alerting systems for machine learning models to ensure high performance, reliability, and minimal downtime.
• Support Cross-Departmental AI Utilization: Enable various departments within the organization to leverage AI/ML models, including cutting-edge Generative AI solutions, for different use cases.
• Provide Production Support: Offer expertise in debugging and resolving issues related to machine learning models in production, participating in on-call rotations for operational troubleshooting and incident resolution.
• Scale ML Architecture: Design and scale machine learning architecture to support rapid user growth, leveraging deep knowledge of AWS and ML best practices to ensure robustness and efficiency.
• Mentor and Elevate Team Skills: Conduct code reviews, mentor team members, and elevate overall team capabilities through knowledge sharing and collaboration.
• Stay Ahead of the Curve: Stay updated with the latest advancements in machine learning technologies and AWS services, driving the adoption of cutting-edge solutions to maintain a competitive edge.

What We Look For:

• Bachelor's degree in Computer Science, Computer Engineering, Machine Learning, Statistics, Physics, or a relevant technical field, or equivalent practical experience.
• At least 6+ years of experience in machine learning engineering, with demonstrated success in deploying scalable ML models in a production environment.

Preferred Qualifications:

• Deep expertise in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining, artificial intelligence, or related technical fields.
• Proven track record of developing machine learning models from inception to business impact, demonstrating the ability to solve complex challenges with innovative solutions.
• Proficiency with Python is required, and experience with Golang is a plus.
• Demonstrated technical leadership in guiding teams, owning end-to-end projects, and setting the technical direction to achieve project goals efficiently.
• Experience working with relational databases, data warehouses, and using SQL to explore them.
• Strong familiarity with AWS cloud services, especially in deploying and managing machine learning solutions and scaling them in a cost-effective manner.
• Knowledgeable in Kubernetes, Docker, and CI/CD pipelines for efficient deployment and management of ML models.
• Comfortable with monitoring and observability tools tailored for machine learning models (e.g., Prometheus, Grafana, AWS CloudWatch) and experienced in developing recommender systems or enhancing user experiences through personalized recommendations.
• Solid foundation in data processing and pipeline frameworks (e.g., Apache Spark, Kafka) for handling real-time data streams.

About You:

• You have relentlessly high standards - many people may think your standards are unreasonably high. You are continually raising the bar and driving those around you to deliver great results. You make sure that defects do not get sent down the line and that problems are fixed so they stay fixed.
• You’re not bound by convention - your success—and much of the fun—lies in developing new ways to do things
• You need action - speed matters in business. Many decisions and actions are reversible and do not need extensive study. We value calculated risk-taking.
• You earn trust - you listen attentively, speak candidly, and treat others respectfully.
• You have backbone; disagree, then commit - you can respectfully challenge decisions when you disagree, even when doing so is uncomfortable or exhausting. You have conviction and are tenacious. You do not compromise for the sake of social cohesion. Once a decision is determined, you commit wholly.
• You deliver results - you focus on the key inputs and deliver them with the right quality and in a timely fashion. Despite setbacks, you rise to the occasion and never settle.

What Makes Working at Sezzle Awesome:

At Sezzle, we are more than just brilliant engineers, passionate data enthusiasts, out-of-the-box thinkers, and determined innovators. We believe in surrounding ourselves with only the best and the brightest individuals. Our culture is not defined by a certain set of perks designed to give the illusion of the traditional startup culture, but rather, it is the visible example living in every employee that we hire. 

#Li-remote #full-time

The salary range for this role is $50,000 - $120,000 per year (Gross in USD) 

About Sezzle:

With a mission to financially empower the next generation, Sezzle is revolutionizing the shopping experience beyond payments, blending cutting-edge tech with seamless, interest-free installment plans that make shopping smarter and more accessible. We’re not just transforming payments; we’re redefining how people discover, interact with, and purchase the things they love while driving real impact on merchant sales through increased conversions and higher order values. As we continue to shape the future of fintech and retail, we’re building an innovative, dynamic team passionate about creating more than just a transaction but a truly unique shopping journey. If you’re excited about pushing boundaries in tech and delivering a game-changing experience for consumers and merchants alike, come join us at Sezzle and help create the future of shopping!

About the Role: 

We are seeking a talented and motivated Sr. AI engineer who is best in class with a high IQ plus a high EQ. This role presents an exciting opportunity to thrive in a dynamic, fast-paced environment within a rapidly growing team, with abundant prospects for career advancement.

You will be responsible for overseeing the design, development, and deployment of machine learning models that power and enhance our financial platform. In this role, you will drive the creation of scalable machine learning solutions for personalized recommendations in the Sezzle marketplace, fraud detection, and credit risk assessment, utilizing a combination of cloud services, open-source tools, and proprietary algorithms.

Your leadership will be key in blending machine learning development and operations (MLOps) to automate and optimize the full lifecycle of our ML models. You will collaborate with a team of engineers and data scientists to build large-scale, high-quality solutions that address diverse challenges in the shopping and fintech space. You’ll ensure our AI-driven features are robust, efficient, and scalable as we continue to grow.

What You'll Do:

• Design, Build, and Maintain Scalable ML Infrastructure: Lead the design and development of scalable machine learning infrastructure on AWS, utilizing services like AWS Sagemaker for efficient model training and deployment.
• Collaborate with Product Teams: Work closely with product teams to develop MVPs for AI-driven features, ensuring quick iterations and market testing to refine solutions effectively.
• Develop Monitoring & Alerting Frameworks: Create and enhance monitoring and alerting systems for machine learning models to ensure high performance, reliability, and minimal downtime.
• Support Marketing Team’s AI Utilization with an eye on Cross-Departmental impact: Enable various departments within the organization to leverage AI/ML models, including cutting-edge Generative AI solutions, for different use cases.
• Provide Production Support: Offer expertise in debugging and resolving issues related to machine learning models in production, participating in on-call rotations for operational troubleshooting and incident resolution.
• Scale ML Architecture: Design and scale machine learning architecture to support rapid user growth, leveraging deep knowledge of AWS and ML best practices to ensure robustness and efficiency.
• Mentor and Elevate Team Skills: Conduct code reviews, mentor team members, and elevate overall team capabilities through knowledge sharing and collaboration.
• Stay Ahead of the Curve: Stay updated with the latest advancements in machine learning technologies and AWS services, driving the adoption of cutting-edge solutions to maintain a competitive edge.

What We Look For:

• Bachelor's degree in Computer Science, Computer Engineering, Machine Learning, Statistics, Physics, or a relevant technical field, or equivalent practical experience.
• At least 6+ years of experience in machine learning engineering, with demonstrated success in deploying scalable ML models in a production environment.

Preferred Qualifications:

• Deep expertise in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining, artificial intelligence, or related technical fields.
• Proven track record of developing machine learning models from inception to business impact, demonstrating the ability to solve complex challenges with innovative solutions.
• Proficiency with Python is required, and experience with Golang is a plus.
• Demonstrated technical leadership in guiding teams, owning end-to-end projects, and setting the technical direction to achieve project goals efficiently.
• Experience working with relational databases, data warehouses, and using SQL to explore them.
• Strong familiarity with AWS cloud services, especially in deploying and managing machine learning solutions and scaling them in a cost-effective manner.
• Knowledgeable in Kubernetes, Docker, and CI/CD pipelines for efficient deployment and management of ML models.
• Comfortable with monitoring and observability tools tailored for machine learning models (e.g., Prometheus, Grafana, AWS CloudWatch) and experienced in developing recommender systems or enhancing user experiences through personalized recommendations.
• Solid foundation in data processing and pipeline frameworks (e.g., Apache Spark, Kafka) for handling real-time data streams.

About You:

• You have relentlessly high standards - many people may think your standards are unreasonably high. You are continually raising the bar and driving those around you to deliver great results. You make sure that defects do not get sent down the line and that problems are fixed so they stay fixed.
• You’re not bound by convention - your success—and much of the fun—lies in developing new ways to do things
• You need action - speed matters in business. Many decisions and actions are reversible and do not need extensive study. We value calculated risk-taking.
• You earn trust - you listen attentively, speak candidly, and treat others respectfully.
• You have backbone; disagree, then commit - you can respectfully challenge decisions when you disagree, even when doing so is uncomfortable or exhausting. You have conviction and are tenacious. You do not compromise for the sake of social cohesion. Once a decision is determined, you commit wholly.
• You deliver results - you focus on the key inputs and deliver them with the right quality and in a timely fashion. Despite setbacks, you rise to the occasion and never settle.

What Makes Working at Sezzle Awesome:

At Sezzle, we are more than just brilliant engineers, passionate data enthusiasts, out-of-the-box thinkers, and determined innovators. We believe in surrounding ourselves with only the best and the brightest individuals. Our culture is not defined by a certain set of perks designed to give the illusion of the traditional startup culture, but rather, it is the visible example living in every employee that we hire. 

#Li-remote #full-time

The salary range for this role is $50,000 - $120,000 per year (Gross in USD) 

About Sezzle:

With a mission to financially empower the next generation, Sezzle is revolutionizing the shopping experience beyond payments, blending cutting-edge tech with seamless, interest-free installment plans that make shopping smarter and more accessible. We’re not just transforming payments; we’re redefining how people discover, interact with, and purchase the things they love while driving real impact on merchant sales through increased conversions and higher order values. As we continue to shape the future of fintech and retail, we’re building an innovative, dynamic team passionate about creating more than just a transaction but a truly unique shopping journey. If you’re excited about pushing boundaries in tech and delivering a game-changing experience for consumers and merchants alike, come join us at Sezzle and help create the future of shopping!

About the Role: 

We are seeking a talented and motivated Sr. AI engineer who is best in class with a high IQ plus a high EQ. This role presents an exciting opportunity to thrive in a dynamic, fast-paced environment within a rapidly growing team, with abundant prospects for career advancement.

You will be responsible for overseeing the design, development, and deployment of machine learning models that power and enhance our financial platform. In this role, you will drive the creation of scalable machine learning solutions for personalized recommendations in the Sezzle marketplace, fraud detection, and credit risk assessment, utilizing a combination of cloud services, open-source tools, and proprietary algorithms.

Your leadership will be key in blending machine learning development and operations (MLOps) to automate and optimize the full lifecycle of our ML models. You will collaborate with a team of engineers and data scientists to build large-scale, high-quality solutions that address diverse challenges in the shopping and fintech space. You’ll ensure our AI-driven features are robust, efficient, and scalable as we continue to grow.

What You'll Do:

• Design, Build, and Maintain Scalable ML Infrastructure: Lead the design and development of scalable machine learning infrastructure on AWS, utilizing services like AWS Sagemaker for efficient model training and deployment.
• Collaborate with Product Teams: Work closely with product teams to develop MVPs for AI-driven features, ensuring quick iterations and market testing to refine solutions effectively.
• Develop Monitoring & Alerting Frameworks: Create and enhance monitoring and alerting systems for machine learning models to ensure high performance, reliability, and minimal downtime.
• Support Marketing Team’s AI Utilization with an eye on Cross-Departmental impact: Enable various departments within the organization to leverage AI/ML models, including cutting-edge Generative AI solutions, for different use cases.
• Provide Production Support: Offer expertise in debugging and resolving issues related to machine learning models in production, participating in on-call rotations for operational troubleshooting and incident resolution.
• Scale ML Architecture: Design and scale machine learning architecture to support rapid user growth, leveraging deep knowledge of AWS and ML best practices to ensure robustness and efficiency.
• Mentor and Elevate Team Skills: Conduct code reviews, mentor team members, and elevate overall team capabilities through knowledge sharing and collaboration.
• Stay Ahead of the Curve: Stay updated with the latest advancements in machine learning technologies and AWS services, driving the adoption of cutting-edge solutions to maintain a competitive edge.

What We Look For:

• Bachelor's degree in Computer Science, Computer Engineering, Machine Learning, Statistics, Physics, or a relevant technical field, or equivalent practical experience.
• At least 6+ years of experience in machine learning engineering, with demonstrated success in deploying scalable ML models in a production environment.

Preferred Qualifications:

• Deep expertise in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining, artificial intelligence, or related technical fields.
• Proven track record of developing machine learning models from inception to business impact, demonstrating the ability to solve complex challenges with innovative solutions.
• Proficiency with Python is required, and experience with Golang is a plus.
• Demonstrated technical leadership in guiding teams, owning end-to-end projects, and setting the technical direction to achieve project goals efficiently.
• Experience working with relational databases, data warehouses, and using SQL to explore them.
• Strong familiarity with AWS cloud services, especially in deploying and managing machine learning solutions and scaling them in a cost-effective manner.
• Knowledgeable in Kubernetes, Docker, and CI/CD pipelines for efficient deployment and management of ML models.
• Comfortable with monitoring and observability tools tailored for machine learning models (e.g., Prometheus, Grafana, AWS CloudWatch) and experienced in developing recommender systems or enhancing user experiences through personalized recommendations.
• Solid foundation in data processing and pipeline frameworks (e.g., Apache Spark, Kafka) for handling real-time data streams.

About You:

• You have relentlessly high standards - many people may think your standards are unreasonably high. You are continually raising the bar and driving those around you to deliver great results. You make sure that defects do not get sent down the line and that problems are fixed so they stay fixed.
• You’re not bound by convention - your success—and much of the fun—lies in developing new ways to do things
• You need action - speed matters in business. Many decisions and actions are reversible and do not need extensive study. We value calculated risk-taking.
• You earn trust - you listen attentively, speak candidly, and treat others respectfully.
• You have backbone; disagree, then commit - you can respectfully challenge decisions when you disagree, even when doing so is uncomfortable or exhausting. You have conviction and are tenacious. You do not compromise for the sake of social cohesion. Once a decision is determined, you commit wholly.
• You deliver results - you focus on the key inputs and deliver them with the right quality and in a timely fashion. Despite setbacks, you rise to the occasion and never settle.

What Makes Working at Sezzle Awesome:

At Sezzle, we are more than just brilliant engineers, passionate data enthusiasts, out-of-the-box thinkers, and determined innovators. We believe in surrounding ourselves with only the best and the brightest individuals. Our culture is not defined by a certain set of perks designed to give the illusion of the traditional startup culture, but rather, it is the visible example living in every employee that we hire. 

#Li-remote #full-time

The salary range for this role is $50,000 - $120,000 per year (Gross in USD) 

About Sezzle:

With a mission to financially empower the next generation, Sezzle is revolutionizing the shopping experience beyond payments, blending cutting-edge tech with seamless, interest-free installment plans that make shopping smarter and more accessible. We’re not just transforming payments; we’re redefining how people discover, interact with, and purchase the things they love while driving real impact on merchant sales through increased conversions and higher order values. As we continue to shape the future of fintech and retail, we’re building an innovative, dynamic team passionate about creating more than just a transaction but a truly unique shopping journey. If you’re excited about pushing boundaries in tech and delivering a game-changing experience for consumers and merchants alike, come join us at Sezzle and help create the future of shopping!

About the Role: 

We are seeking a talented and motivated Sr. AI engineer who is best in class with a high IQ plus a high EQ. This role presents an exciting opportunity to thrive in a dynamic, fast-paced environment within a rapidly growing team, with abundant prospects for career advancement.

You will be responsible for overseeing the design, development, and deployment of machine learning models that power and enhance our financial platform. In this role, you will drive the creation of scalable machine learning solutions for personalized recommendations in the Sezzle marketplace, fraud detection, and credit risk assessment, utilizing a combination of cloud services, open-source tools, and proprietary algorithms.

Your leadership will be key in blending machine learning development and operations (MLOps) to automate and optimize the full lifecycle of our ML models. You will collaborate with a team of engineers and data scientists to build large-scale, high-quality solutions that address diverse challenges in the shopping and fintech space. You’ll ensure our AI-driven features are robust, efficient, and scalable as we continue to grow.

What You'll Do:

• Design, Build, and Maintain Scalable ML Infrastructure: Lead the design and development of scalable machine learning infrastructure on AWS, utilizing services like AWS Sagemaker for efficient model training and deployment.
• Collaborate with Product Teams: Work closely with product teams to develop MVPs for AI-driven features, ensuring quick iterations and market testing to refine solutions effectively.
• Develop Monitoring & Alerting Frameworks: Create and enhance monitoring and alerting systems for machine learning models to ensure high performance, reliability, and minimal downtime.
• Support Marketing Team’s AI Utilization with an eye on Cross-Departmental impact: Enable various departments within the organization to leverage AI/ML models, including cutting-edge Generative AI solutions, for different use cases.
• Provide Production Support: Offer expertise in debugging and resolving issues related to machine learning models in production, participating in on-call rotations for operational troubleshooting and incident resolution.
• Scale ML Architecture: Design and scale machine learning architecture to support rapid user growth, leveraging deep knowledge of AWS and ML best practices to ensure robustness and efficiency.
• Mentor and Elevate Team Skills: Conduct code reviews, mentor team members, and elevate overall team capabilities through knowledge sharing and collaboration.
• Stay Ahead of the Curve: Stay updated with the latest advancements in machine learning technologies and AWS services, driving the adoption of cutting-edge solutions to maintain a competitive edge.

What We Look For:

• Bachelor's degree in Computer Science, Computer Engineering, Machine Learning, Statistics, Physics, or a relevant technical field, or equivalent practical experience.
• At least 6+ years of experience in machine learning engineering, with demonstrated success in deploying scalable ML models in a production environment.

Preferred Qualifications:

• Deep expertise in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining, artificial intelligence, or related technical fields.
• Proven track record of developing machine learning models from inception to business impact, demonstrating the ability to solve complex challenges with innovative solutions.
• Proficiency with Python is required, and experience with Golang is a plus.
• Demonstrated technical leadership in guiding teams, owning end-to-end projects, and setting the technical direction to achieve project goals efficiently.
• Experience working with relational databases, data warehouses, and using SQL to explore them.
• Strong familiarity with AWS cloud services, especially in deploying and managing machine learning solutions and scaling them in a cost-effective manner.
• Knowledgeable in Kubernetes, Docker, and CI/CD pipelines for efficient deployment and management of ML models.
• Comfortable with monitoring and observability tools tailored for machine learning models (e.g., Prometheus, Grafana, AWS CloudWatch) and experienced in developing recommender systems or enhancing user experiences through personalized recommendations.
• Solid foundation in data processing and pipeline frameworks (e.g., Apache Spark, Kafka) for handling real-time data streams.

About You:

• You have relentlessly high standards - many people may think your standards are unreasonably high. You are continually raising the bar and driving those around you to deliver great results. You make sure that defects do not get sent down the line and that problems are fixed so they stay fixed.
• You’re not bound by convention - your success—and much of the fun—lies in developing new ways to do things
• You need action - speed matters in business. Many decisions and actions are reversible and do not need extensive study. We value calculated risk-taking.
• You earn trust - you listen attentively, speak candidly, and treat others respectfully.
• You have backbone; disagree, then commit - you can respectfully challenge decisions when you disagree, even when doing so is uncomfortable or exhausting. You have conviction and are tenacious. You do not compromise for the sake of social cohesion. Once a decision is determined, you commit wholly.
• You deliver results - you focus on the key inputs and deliver them with the right quality and in a timely fashion. Despite setbacks, you rise to the occasion and never settle.

What Makes Working at Sezzle Awesome:

At Sezzle, we are more than just brilliant engineers, passionate data enthusiasts, out-of-the-box thinkers, and determined innovators. We believe in surrounding ourselves with only the best and the brightest individuals. Our culture is not defined by a certain set of perks designed to give the illusion of the traditional startup culture, but rather, it is the visible example living in every employee that we hire. 

#Li-remote #full-time

The salary range for this role is $50,000 - $120,000 per year (Gross in USD) 

About Sezzle:

With a mission to financially empower the next generation, Sezzle is revolutionizing the shopping experience beyond payments, blending cutting-edge tech with seamless, interest-free installment plans that make shopping smarter and more accessible. We’re not just transforming payments; we’re redefining how people discover, interact with, and purchase the things they love while driving real impact on merchant sales through increased conversions and higher order values. As we continue to shape the future of fintech and retail, we’re building an innovative, dynamic team passionate about creating more than just a transaction but a truly unique shopping journey. If you’re excited about pushing boundaries in tech and delivering a game-changing experience for consumers and merchants alike, come join us at Sezzle and help create the future of shopping!

About the Role: 

We are seeking a talented and motivated Sr. AI engineer who is best in class with a high IQ plus a high EQ. This role presents an exciting opportunity to thrive in a dynamic, fast-paced environment within a rapidly growing team, with abundant prospects for career advancement.

You will be responsible for overseeing the design, development, and deployment of machine learning models that power and enhance our financial platform. In this role, you will drive the creation of scalable machine learning solutions for personalized recommendations in the Sezzle marketplace, fraud detection, and credit risk assessment, utilizing a combination of cloud services, open-source tools, and proprietary algorithms.

Your leadership will be key in blending machine learning development and operations (MLOps) to automate and optimize the full lifecycle of our ML models. You will collaborate with a team of engineers and data scientists to build large-scale, high-quality solutions that address diverse challenges in the shopping and fintech space. You’ll ensure our AI-driven features are robust, efficient, and scalable as we continue to grow.

What You'll Do:

• Design, Build, and Maintain Scalable ML Infrastructure: Lead the design and development of scalable machine learning infrastructure on AWS, utilizing services like AWS Sagemaker for efficient model training and deployment.
• Collaborate with Product Teams: Work closely with product teams to develop MVPs for AI-driven features, ensuring quick iterations and market testing to refine solutions effectively.
• Develop Monitoring & Alerting Frameworks: Create and enhance monitoring and alerting systems for machine learning models to ensure high performance, reliability, and minimal downtime.
• Support Marketing Team’s AI Utilization with an eye on Cross-Departmental impact: Enable various departments within the organization to leverage AI/ML models, including cutting-edge Generative AI solutions, for different use cases.
• Provide Production Support: Offer expertise in debugging and resolving issues related to machine learning models in production, participating in on-call rotations for operational troubleshooting and incident resolution.
• Scale ML Architecture: Design and scale machine learning architecture to support rapid user growth, leveraging deep knowledge of AWS and ML best practices to ensure robustness and efficiency.
• Mentor and Elevate Team Skills: Conduct code reviews, mentor team members, and elevate overall team capabilities through knowledge sharing and collaboration.
• Stay Ahead of the Curve: Stay updated with the latest advancements in machine learning technologies and AWS services, driving the adoption of cutting-edge solutions to maintain a competitive edge.

What We Look For:

• Bachelor's degree in Computer Science, Computer Engineering, Machine Learning, Statistics, Physics, or a relevant technical field, or equivalent practical experience.
• At least 6+ years of experience in machine learning engineering, with demonstrated success in deploying scalable ML models in a production environment.

Preferred Qualifications:

• Deep expertise in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining, artificial intelligence, or related technical fields.
• Proven track record of developing machine learning models from inception to business impact, demonstrating the ability to solve complex challenges with innovative solutions.
• Proficiency with Python is required, and experience with Golang is a plus.
• Demonstrated technical leadership in guiding teams, owning end-to-end projects, and setting the technical direction to achieve project goals efficiently.
• Experience working with relational databases, data warehouses, and using SQL to explore them.
• Strong familiarity with AWS cloud services, especially in deploying and managing machine learning solutions and scaling them in a cost-effective manner.
• Knowledgeable in Kubernetes, Docker, and CI/CD pipelines for efficient deployment and management of ML models.
• Comfortable with monitoring and observability tools tailored for machine learning models (e.g., Prometheus, Grafana, AWS CloudWatch) and experienced in developing recommender systems or enhancing user experiences through personalized recommendations.
• Solid foundation in data processing and pipeline frameworks (e.g., Apache Spark, Kafka) for handling real-time data streams.

About You:

• You have relentlessly high standards - many people may think your standards are unreasonably high. You are continually raising the bar and driving those around you to deliver great results. You make sure that defects do not get sent down the line and that problems are fixed so they stay fixed.
• You’re not bound by convention - your success—and much of the fun—lies in developing new ways to do things
• You need action - speed matters in business. Many decisions and actions are reversible and do not need extensive study. We value calculated risk-taking.
• You earn trust - you listen attentively, speak candidly, and treat others respectfully.
• You have backbone; disagree, then commit - you can respectfully challenge decisions when you disagree, even when doing so is uncomfortable or exhausting. You have conviction and are tenacious. You do not compromise for the sake of social cohesion. Once a decision is determined, you commit wholly.
• You deliver results - you focus on the key inputs and deliver them with the right quality and in a timely fashion. Despite setbacks, you rise to the occasion and never settle.

What Makes Working at Sezzle Awesome:

At Sezzle, we are more than just brilliant engineers, passionate data enthusiasts, out-of-the-box thinkers, and determined innovators. We believe in surrounding ourselves with only the best and the brightest individuals. Our culture is not defined by a certain set of perks designed to give the illusion of the traditional startup culture, but rather, it is the visible example living in every employee that we hire. 

#Li-remote #full-time

The salary range for this role is $50,000 - $120,000 per year (Gross in USD) 

About Sezzle:

With a mission to financially empower the next generation, Sezzle is revolutionizing the shopping experience beyond payments, blending cutting-edge tech with seamless, interest-free installment plans that make shopping smarter and more accessible. We’re not just transforming payments; we’re redefining how people discover, interact with, and purchase the things they love while driving real impact on merchant sales through increased conversions and higher order values. As we continue to shape the future of fintech and retail, we’re building an innovative, dynamic team passionate about creating more than just a transaction but a truly unique shopping journey. If you’re excited about pushing boundaries in tech and delivering a game-changing experience for consumers and merchants alike, come join us at Sezzle and help create the future of shopping!

About the Role: 

We are seeking a talented and motivated Sr. AI engineer who is best in class with a high IQ plus a high EQ. This role presents an exciting opportunity to thrive in a dynamic, fast-paced environment within a rapidly growing team, with abundant prospects for career advancement.

You will be responsible for overseeing the design, development, and deployment of machine learning models that power and enhance our financial platform. In this role, you will drive the creation of scalable machine learning solutions for personalized recommendations in the Sezzle marketplace, fraud detection, and credit risk assessment, utilizing a combination of cloud services, open-source tools, and proprietary algorithms.

Your leadership will be key in blending machine learning development and operations (MLOps) to automate and optimize the full lifecycle of our ML models. You will collaborate with a team of engineers and data scientists to build large-scale, high-quality solutions that address diverse challenges in the shopping and fintech space. You’ll ensure our AI-driven features are robust, efficient, and scalable as we continue to grow.

What You'll Do:

• Design, Build, and Maintain Scalable ML Infrastructure: Lead the design and development of scalable machine learning infrastructure on AWS, utilizing services like AWS Sagemaker for efficient model training and deployment.
• Collaborate with Product Teams: Work closely with product teams to develop MVPs for AI-driven features, ensuring quick iterations and market testing to refine solutions effectively.
• Develop Monitoring & Alerting Frameworks: Create and enhance monitoring and alerting systems for machine learning models to ensure high performance, reliability, and minimal downtime.
• Support Marketing Team’s AI Utilization with an eye on Cross-Departmental impact: Enable various departments within the organization to leverage AI/ML models, including cutting-edge Generative AI solutions, for different use cases.
• Provide Production Support: Offer expertise in debugging and resolving issues related to machine learning models in production, participating in on-call rotations for operational troubleshooting and incident resolution.
• Scale ML Architecture: Design and scale machine learning architecture to support rapid user growth, leveraging deep knowledge of AWS and ML best practices to ensure robustness and efficiency.
• Mentor and Elevate Team Skills: Conduct code reviews, mentor team members, and elevate overall team capabilities through knowledge sharing and collaboration.
• Stay Ahead of the Curve: Stay updated with the latest advancements in machine learning technologies and AWS services, driving the adoption of cutting-edge solutions to maintain a competitive edge.

What We Look For:

• Bachelor's degree in Computer Science, Computer Engineering, Machine Learning, Statistics, Physics, or a relevant technical field, or equivalent practical experience.
• At least 6+ years of experience in machine learning engineering, with demonstrated success in deploying scalable ML models in a production environment.

Preferred Qualifications:

• Deep expertise in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining, artificial intelligence, or related technical fields.
• Proven track record of developing machine learning models from inception to business impact, demonstrating the ability to solve complex challenges with innovative solutions.
• Proficiency with Python is required, and experience with Golang is a plus.
• Demonstrated technical leadership in guiding teams, owning end-to-end projects, and setting the technical direction to achieve project goals efficiently.
• Experience working with relational databases, data warehouses, and using SQL to explore them.
• Strong familiarity with AWS cloud services, especially in deploying and managing machine learning solutions and scaling them in a cost-effective manner.
• Knowledgeable in Kubernetes, Docker, and CI/CD pipelines for efficient deployment and management of ML models.
• Comfortable with monitoring and observability tools tailored for machine learning models (e.g., Prometheus, Grafana, AWS CloudWatch) and experienced in developing recommender systems or enhancing user experiences through personalized recommendations.
• Solid foundation in data processing and pipeline frameworks (e.g., Apache Spark, Kafka) for handling real-time data streams.

About You:

• You have relentlessly high standards - many people may think your standards are unreasonably high. You are continually raising the bar and driving those around you to deliver great results. You make sure that defects do not get sent down the line and that problems are fixed so they stay fixed.
• You’re not bound by convention - your success—and much of the fun—lies in developing new ways to do things
• You need action - speed matters in business. Many decisions and actions are reversible and do not need extensive study. We value calculated risk-taking.
• You earn trust - you listen attentively, speak candidly, and treat others respectfully.
• You have backbone; disagree, then commit - you can respectfully challenge decisions when you disagree, even when doing so is uncomfortable or exhausting. You have conviction and are tenacious. You do not compromise for the sake of social cohesion. Once a decision is determined, you commit wholly.
• You deliver results - you focus on the key inputs and deliver them with the right quality and in a timely fashion. Despite setbacks, you rise to the occasion and never settle.

What Makes Working at Sezzle Awesome:

At Sezzle, we are more than just brilliant engineers, passionate data enthusiasts, out-of-the-box thinkers, and determined innovators. We believe in surrounding ourselves with only the best and the brightest individuals. Our culture is not defined by a certain set of perks designed to give the illusion of the traditional startup culture, but rather, it is the visible example living in every employee that we hire. 

#Li-remote #full-time

We’re looking for a highly skilled AI Engineer to help us design, build, and scale intelligent systems across our next-generation global HR Tech platform. As an early-stage startup, we’re looking for someone who thrives in dynamic environments, is passionate about automation and AI-driven innovation, and brings hands-on experience developing AI/ML solutions within enterprise-grade SaaS platforms.

You’ll work cross-functionally with product, data, and engineering teams to develop models that improve user experience, automate decision-making, and support smart HR and payroll solutions. This role reports directly to the Head of Engineering.

What You’ll Do

• Design and implement machine learning models to solve HR-specific challenges (e.g., intelligent automation, anomaly detection, personalized experiences)
• Collaborate with product managers and engineers to bring AI features to life across the platform
• Develop and optimize data pipelines to support model training and inference
• Research and apply NLP, LLMs, and other AI/ML technologies to streamline and improve HR workflows
• Monitor model performance and retrain/improve based on feedback and usage
• Build scalable AI solutions using cloud-native tools (preferably AWS)
• Contribute to data governance, ethical AI use, and compliance

What You’ll Bring

• 4–6+ years of experience as an AI/ML Engineer or Data Scientist, ideally with startup or SaaS exposure
• Strong understanding of supervised/unsupervised learning, NLP, neural networks, and generative AI
• Proficiency with Python and ML frameworks like TensorFlow, PyTorch, Hugging Face, or similar
• Experience deploying models in production using cloud platforms like AWS Sagemaker, GCP Vertex AI, or Azure ML
• Experience with data versioning, MLOps, and model lifecycle management
• Ability to work autonomously and thrive in a startup environment
• Familiarity with HR tech, payroll, or workforce data is a plus

NEORIS is a Digital accelerator that helps companies enter the future, having 20 years of experience as Digital Partners of some of the largest companies in the world. We have more than 4,000 professionals in 11 countries, with our multicultural startup culture where we cultivate innovation, continuous learning to create high-value solutions for our clients.

We are looking for a motivated Mid level Data Scientist with experience in Python, statistical analysis, and machine learning to support the development of data-driven and AI-powered solutions. In this role, you will collaborate with senior data scientists, engineers, and business stakeholders to analyze data, build predictive models, and contribute to scalable analytics and AI applications.

This is a great opportunity for a data professional to grow their expertise in Machine Learning, Generative AI, and modern data science practices while working on real-world business problems. You will gain hands-on experience building models and applications that support production environments.

Key Responsibilities

• Model Development: Support the implementation of machine learning models, assisting with data preprocessing, feature engineering, model training, and evaluation.
• Statistical Analysis: Apply techniques such as regression, classification, clustering, and anomaly detection to solve business and operational problems.
• AI Innovation: Assist in developing applications using Generative AI (LLMs, prompt engineering, embeddings, or Retrieval-Augmented Generation).
• Integration: Work with APIs and backend services to integrate ML and AI models into internal systems.
• Workflow Optimization: Support the development of scalable ML workflows and data pipelines for experimentation and training.
• Cross-functional Collaboration: Partner with data engineers, DevOps and software developers to support the deployment and monitoring of models.
• Code Quality: Write clean, well-documented code using Python and SQL.
• Data Storytelling: Prepare visualizations and reports to communicate insights and results to both technical and non-technical stakeholders.

Required Qualifications

• Professional Experience: 3+ years working with Python in data science, analytics, or machine learning projects.
• 3 + years experience using Computer Vision models like YOLO
• Database Skills: Practical experience with SQL for querying and analyzing large datasets.
• ML Frameworks: Experience supporting ML models using libraries such as scikit-learn, PyTorch, or TensorFlow.
• Data Processing: Familiarity with data processing or streaming pipelines (e.g. Apache Beam, Google Cloud Dataflow, Spark, or similar frameworks).
• Forecast
• Technical Literacy: Familiarity with REST APIs, web services, Generative AI concepts and frameworks (LLMs, RAG-based systems, LangChain, ADK, Llama-index).
• English proficiency (B2 level or higher).

Preferred Qualifications

• Version Control: Experience with Git and version control practices.
• Cloud & DevOps: Exposure to cloud environments (GCP, AWS, or Azure) and MLOps concepts (CI/CD, Docker, Kubernetes, or MLflow).
• Agile Mindset: Experience working in Agile development environments.
• Portfolio: Personal projects, research, or AI experimentation that demonstrate initiative and curiosity.

What We Value

• Curiosity: A strong desire for continuous learning and exploring new tools in AI/ML.
• Initiative: A self-driven approach to developing skills and solving technical hurdles.
• Persistence: The ability to iterate through complex challenges toward effective solutions.
• Ownership: Accountability for technical tasks and a collaborative, supportive mindset.

  We offer:

• Statutory & Major benefits
• Personal Growth
• Competitive salary
• Attractive benefits plan

Come and meet us on: http://www.neoris.com, on Facebook, LinkedIn, Twitter, or Instagram @NEORIS.

Marina Molina

#LI-MM3

Who We Are

Build. Scale. Sustain.

PALO IT is a global technology consultancy that crafts tech as a force for good. We design, develop and scale digital and sustainable products and services to unlock value across the triple bottom line: people, planet, profit. We do the right thing, and we do it right. We're proud to be a World Economic Forum New Champion, and a B Corp-certified company.

• We are small enough to care locally, big enough to deliver globally (5 continents, 18 offices, +650 experts from +50 nationalities)
• We are robust and resilient (100% independent and 0 debt)
• We are entrepreneurs and passionate experts: We invest in what we believe genuinely and work as a collective intelligence
• We are positive, courageous, caring, doers and committed to excellence

About Gen-e2

While the market is still largely AI-augmenting delivery, we have reinvented the SDLC to be AI First. Our approach is a game-changer in productivity and quality, with a strong collaboration between AI generative and our best talents:

• We now generate 95% of the entire product — code, documentation, infrastructure as code, and even design — with GitHub Copilot
• The quality consistently exceeds the output of our best traditional engineering teams
• A product repository houses all product artefacts, giving AI full project context for higher-quality generation
• A library of rules and prompts defines coding standards, design principles, and security guidelines

With Gen-e2, we deliver end-to-end products 2–3× faster than traditional approaches, while raising the bar for engineering excellence.

Your Role

As a Senior .NET Backend Engineer, you are a true senior profile with the autonomy and technical depth to not only execute but also design and propose scalable solutions in complex environments.

• Design and develop scalable, secure, and high-performance backend systems using .NET (C#) and ASP.NET Core.
• Build and maintain microservices architectures and RESTful APIs with a strong focus on scalability and resilience.
• Design and implement event-driven architectures using messaging systems such as Azure Service Bus, Kafka, or RabbitMQ.
• Apply advanced resilience and integration patterns such as: Outbox / Inbox, Circuit Breaker
• Model and optimize data access using: Relational databases (SQL Server, PostgreSQL), NoSQL databases (Redis, MongoDB) when relevant
• Implement caching strategies (Redis) to enhance performance and scalability.
• Apply Clean Architecture, SOLID principles, and contribute to Domain-Driven Design (DDD) practices.
• Ensure high standards in security and quality, including: OAuth2 / JWT authentication, Prevention of vulnerabilities (e.g., SQL Injection)
• Contribute to DevOps practices: CI/CD pipelines (Azure DevOps), Containerization (Docker), Infrastructure as Code (Terraform, plus), Deployment and orchestration using Kubernetes
• Ensure system reliability through testing strategies (unit and integration), observability, and monitoring (Application Insights, OpenTelemetry).
• Participate in technical decision-making, architecture definition, and product roadmap discussions.
• Conduct code reviews, refactoring, and performance optimization to maintain high-quality standards.
• Collaborate with distributed teams and mentor junior developers, fostering engineering excellence.

Who You Are

• You have 5–6+ years of true Senior experience in backend development with .NET (C#) and ASP.NET Core.
• You have strong hands-on experience in: Microservices architectures, Event-driven systems and messaging
• You have practical experience implementing patterns such as: Outbox / Inbox, Circuit Breaker
• You have solid experience with: Kubernetes, Relational databases (SQL Server / PostgreSQL), Git version control
• You demonstrate strong knowledge of: Backend security (OAuth2, JWT), Vulnerability prevention (e.g., SQL Injection)
• You are able to propose solutions and take ownership, not just execute tasks.
• You have strong analytical and problem-solving skills, with a hands-on mindset.
• You are comfortable working in distributed teams and collaborating cross-functionally.

Nice to have:

• Experience with NoSQL databases (Redis, MongoDB), especially for caching
• Knowledge of Clean Architecture and DDD
• Experience with Azure cloud environment
• Familiarity with: Azure DevOps (CI/CD), Terraform (Infrastructure as Code)
• Exposure to AI tools (e.g., ChatGPT, Copilot)

Soft Skills

• Strong system thinking and sound technical judgment.
• Ability to prioritize, estimate, and deliver effectively in fast-paced environments.
• Collaborative mindset with mentoring and knowledge-sharing capabilities.
• Strong focus on quality, resilience, and continuous improvement.

More About PALO IT

We’re eager to adapt to change, learn from our experiences and move to meet our planet’s urgent needs. We are continuously taking action to:

• Become a climate net-zero company
• Deliver projects with a positive impact
• Train 100% of our workforce on impact
• Achieve B Corp certification across all offices
• Continuously measure & improve employee happiness

What We Offer

• Stimulating working environments
• Unique career path
• International mobility
• Internal R&D projects
• Knowledge sharing
• Personalized training
• Entrepreneurship & intrapreneurship

Overview:

We are looking for a Staff Engineer in LATAM to join the engineering team! In this role, you will set technical direction across both front-end and back-end systems, helping shape the architecture, performance, reliability, and user experience of our learning platform. You will provide hands-on technical leadership across squads, partner closely with Product and Design, and drive the development of scalable, secure-by-default, AI-powered customer experiences.

This is a high-impact role for an engineer who can move fluidly across the stack, from high-traffic user interfaces to high-scale services, while mentoring engineers and raising the technical bar across the organization.

About Nerdy:

At Nerdy (NYSE: NRDY) -  the company behind Varsity Tutors - we’re redrawing the blueprint of learning. Our Live + AI™ platform fuses real-time human expertise with proprietary generative-AI systems, setting a new bar for measurable academic impact at global scale. 

We recruit the kind of technologists and operators you’d bet on as solo founders - people who turn ambiguous problems into shipping code, iterate faster than markets move, and compound their advantage with every data point. In an era where great employees can deliver 10-times the leverage of the merely good, we back those who play to win.

Fortune favors the bold. Join us.

How we compete:

• AI-Native at every level
  From the CEO to day-one hires, everyone builds and ships with generative AI. If you’re not wielding AI, you’re not done.

• Entrepreneurial velocity
  Move at founder speed, prototype in hours, and measure in real user outcomes. Slow teams die.

• Free-market rigor
  Ideas rise or fall on merit and results - no committees, no politics, no cap on upside.

• Full-stack ownership
  You design, build, and run what you ship; accountability is a feature, not a bug.

• Reward for contribution
  Pay rises with impact, not years. Outstanding results earn outsized rewards. We evaluate both what you achieve and howyou achieve it: living our leadership principles and using AI effectively are formally measured and rewarded.

• Relentless exploration
  Push the frontier of generative AI in live learning and - because only the paranoid survive - questioning every legacy assumption along the way.

• Is Apolitical
  You stay focused on mission-aligned outcomes, not distractions or unrelated causes.

If you’re a technically minded builder who thrives on open competition, personal responsibility, and the chance to redefine how the world learns - while continually stretching the limits of what generative AI can do - come do the most ambitious and rewarding work of your career here. Learn more atnerdy.com.

Nerdy’s shareholder letters below explain our latest products and strategy:

• Q4-2025 Shareholder Letter

• Q3-2025 Shareholder Letter

• Q2-2025 Shareholder Letter

Responsibilities

• Technical Leadership: Serve as the technical point of reference for the squad and broader engineering team, ensuring best practices in architecture, performance optimization, and accessibility standards are upheld.

• Solution Design: Lead the design and architectural discussions for systems, making pivotal decisions on frameworks, state management patterns, component architecture, and design systems.

• Code Quality: Advocate for and ensure the delivery of high-quality, maintainable, and scalable code. Conduct regular code reviews and provide mentorship to team members.

• Collaboration: Work closely with product managers, designers, and other stakeholders to understand requirements, provide technical insights, and ensure the timely delivery of features.

• Strategy and Vision: Contribute to the engineering department's strategy and vision, bringing innovative ideas to improve our customer-facing experiences.

• Problem Solving: Address complex technical challenges, innovate solutions, and optimize existing systems for scalability and performance.

• Team Development: Mentor and develop team members, helping them to grow in their technical roles and careers.

• AI Enablement: Leverage AI-native tools and approaches to improve development speed, product capabilities, and engineering effectiveness across the software lifecycle.

Qualifications:

• Minimum of 10 years of software engineering experience, with a proven track record of building and evolving complex, high-scale systems and customer-facing applications.

• Strong full-stack expertise, including domain in:

           Frontend: JavaScript, TypeScript

           Backend: Javascript, Java, Golang 

• Explicit mentoring of senior-level engineers regularly, leading to results.

• Significant experience in AWS-based cloud architecture environments.

• In-depth knowledge of modern software engineering practices, design patterns, and architectures.

• Experienced with AI-native tools that enhance productivity and speed (Cursor, Make.com, Supabase, Netlify, Claude Code, n8n, Firecrawl, ChatGPT, Grok, Bolt, Vercel, etc).

• Ability to communicate complex technical concepts clearly to both technical and non-technical stakeholders.

• Experience designing high-traffic web applications and scalable distributed services.

• Demonstrated experience in collaborating with multidisciplinary teams.

• Excellent problem-solving and analytical skills.

• A strong owner willing to roll up their sleeves. This role includes coding and reviewing the code of others.

• Ability to implement customer-facing solutions that solve the customers' true needs with exceptional user experiences.

• Nerdy is an apolitical company focused solely on helping people learn, and we achieve the most when united in this mission.

Unleash Your Potential at Nerdy:

At Nerdy, you'll earn your success through meritocracy and exceptional outcomes. Our benefits reward performance and initiative:

• Competitive USD Compensation: Enjoy a market-leading rate paid in U.S. dollars.

• 100% Remote (Home Country Only): Work from anywhere in your home country—no relocation required, no borders crossed.

• Flexible Time Off: Our flexible PTO lets you recharge on your own terms and when you need it the most.

• Local Holiday Pay: We honor your nation’s official holidays with paid time off—celebrate what matters to you.

• Continuous Learning: Get a free, all-inclusive learning membership for you and your household—including 1-on-1 tutoring hours, unlimited on-demand classes, and access to our full suite of learning products and services.

• Supercharge with AI: Gain exclusive access to cutting-edge AI tools that boost your productivity, making you feel almost super-human (cape not included).

• Feedback-Rich, Collaborative Culture: Tap into regular training, peer reviews, and a team that treats every team member as a vital collaborator and owner in our success.

• Make a Global Impact: Your expertise fuels an innovative platform used by learners around the world—be part of something transformative.

The Bottom Line:

If you're driven by impact, energized by ownership, and excited to help shape what’s next, you’ll thrive here. We move fast, think big, and reward those who deliver. This isn’t a traditional corporate environment - it’s a place to do the most meaningful work of your career.

About WPP Media 

WPP is the creative transformation company. We use the power of creativity to build better futures for our people, planet, clients and communities. For more information, visit wpp.com. 

WPP Media is WPP’s global media collective. In a world where media is everywhere and in everything, we bring the best platform, people, and partners together to create limitless opportunities for growth. For more information, visit wppmedia.com 

At WPP Media, we believe in the power of our culture and our people. It’s what elevates us to deliver exceptional experiences for both our clients and each other. In this role it will be critical to embrace WPP & WPP Media’s shared core values: 

• Be Extraordinary by Leading Collectively to Inspire transformational Creativity. 

• Create an Open environment by Balancing People and Client Experiences by Cultivating Trust. 

• Lead Optimistically by Championing Growth and Development to Mobilize the Enterprise. 

About the Role

As Senior Analyst, you are accountable for quantifying and measuring the success of our marketing and advertising executions and for delivering quantifiable insights that enable us to innovate the work we deliver at MFG. You will be partnering with Analytics and cross-discipline team members in New York, Chicago, San Francisco and Los Angeles, helping to create continuity between the various teams.

Some of the things we’d like you to do: 

• Everything with marketing data (collection, cleaning, analysis and validation)
• Communicate advertising campaign insights generated by our analysis and share communication best practices internally
• Seek knowledge of other practices in order to understand how to tailor insights and recommendations towards actionability
• Support the wider Analytics team in implementing our measurement tools
• Transform data into visually appealing presentations
• Proactively identify and resolve program & project issues, escalating appropriately
• Stay up to date on our product offerings and how it affects analytics
• Occasional vendor and client communication may be required

A bit about yourself:

• Bachelor's Degree from a top-tier college, 3.0 GPA or equivalent. Degree within Analytics, Technology, Marketing, Advertising or equivalent experience
• At least C1 English language proficiency or equivalent
• 2+ years of experience working in a marketing analytics-based role
• Proficiency in Excel, PowerPoint (Google Workspace a must)
• Exposure to measurement of both Brand and Direct Response marketing campaigns
• Strong project management skills
• Strong verbal and written communication
• Strong attention to detail and ability to manage multiple tasks
• Highly organized and efficient under pressure
• Natural affinity for numbers/data and a passion for playing with data in order to solve problems
• Experience with generative AI tools (Gemini, ChatGPT) a plus
• Experience with programming languages such as R, SQL, and Python a plus

Who We Are

Build. Scale. Sustain.

PALO IT is a global technology consultancy that crafts tech as a force for good. We design, develop and scale digital and sustainable products and services to unlock value across the triple bottom line: people, planet, profit. We do the right thing, and we do it right. We're proud to be a World Economic Forum New Champion, and a B Corp-certified company.

• We are small enough to care locally, big enough to deliver globally (5 continents, 18 offices, +650 experts from +50 nationalities)

• We are robust and resilient (100% independent and 0 debt)

• We are entrepreneurs and passionate experts: We invest in what we believe genuinely and work as a collective intelligence

• We are positive, courageous, caring, doers and committed to excellence

About Gen-e2

While the market is still largely AI-augmenting delivery, we have reinvented the SDLC to be AI First. Our approach is a game-changer in productivity and quality, with a strong collaboration between generative AI and our best talents:

• We now generate 95% of the entire product — code, documentation, infrastructure as code, and even design — with GitHub Copilot.

• The quality consistently exceeds the output of our best traditional engineering teams.

• A product repository houses all product artefacts, giving AI full project context for higher-quality generation.

• A library of rules and prompts defines coding standards, design principles, and security guidelines, ensuring enterprise-grade quality and scalability.
  With Gen-e2, we deliver end-to-end products 2–3× faster than traditional approaches, while raising the bar for engineering excellence.

Your Role 

As a Full Stack Engineer with a Front-End core (React), you’ll own the user experience and front-end architecture while keeping a strong end-to-end product mindset (APIs, data, performance, security, and delivery).

• Build modern, accessible user interfaces with React + TypeScript, following strong architecture practices, reusable component design, and clean hook patterns.

• Define and evolve scalable front-end architecture: conventions, modularization, design systems, code quality (linting/formatting), and a pragmatic testing strategy.

• Implement authentication and authorization flows integrated with IdentityServer, leveraging OAuth2/JWT, with secure session/token handling.

• Consume REST APIs (and GraphQL where applicable), ensuring robust error handling, state management, loading patterns, and resilient UX.

• Ensure excellent responsive design and user experience across devices and resolutions, with attention to accessibility (a11y) and UI consistency.

• Optimize performance (Core Web Vitals, bundle size, caching, rendering strategies, profiling) using Next.js (SSR/SSG) where relevant.

• Implement unit and component tests with Jest and React Testing Library (and e2e with Cypress/Playwright when applicable), ensuring quality and maintainability.

• Collaborate closely with Backend and UX/Product teams to ensure functional and technical alignment, delivering iteratively with a focus on impact.

• Contribute to the backend when needed (often Node.js/TypeScript or an equivalent stack): endpoints, integrations, data flows, reliability, and performance.

• Raise the bar on front-end security: Content Security Policy (CSP), safe token handling, authorization-aware UI patterns, and general hardening practices.

Who You Are

• 7+ years of React experience building production web products.

• Strong command of TypeScript, component design, hooks, patterns, performance, and maintainable front-end architecture.

• Solid experience with state management, including Context API, plus complex UI states, forms, and validations.

• Strong UX/UI engineering instincts: accessibility, visual consistency, attention to detail, and responsive-first design.

• Hands-on experience integrating REST APIs and working with OpenAPI/Swagger; resilience-first approach (errors, latency, edge cases).

• Practical testing skills with Jest and React Testing Library (ideally also e2e).

• Experience with Next.js (SSR/SSG), modern tooling (Vite), and UI frameworks like Tailwind CSS or Material UI.

• Familiarity with edge/CDN delivery (e.g., Azure Front Door) and caching fundamentals.

• Strong front-end security practices: CSP, secure token handling, and awareness of common risks (XSS/CSRF, etc.).

• Professional English for global collaboration (documentation, ceremonies, stakeholders).

More About PALO IT

We’re eager to adapt to change, learn from our experiences and move to meet our planet’s urgent needs. We are continuously taking action to:

• Become a climate net-zero company

• Deliver projects with a positive impact

• Train 100% of our workforce on impact

• Achieve B Corp certification among all our offices across the globe

• Continuously measure & improve employee happiness

Our clients are amongst the world's most successful companies. We innovate with Fortune 1000s, SMEs, and start-ups who aim to make an impact and address complex challenges.

What We Offer

• Stimulating working environments

• Unique career path

• International mobility

• Internal R&D projects

• Knowledge sharing

• Personalized training

• Entrepreneurship & intrapreneurship

For more on our team culture and benefits,

Check out our careers page.
And our PALOCast with direct testimonies from our Palowans!

PALO IT is an equal opportunity employer that values merit, qualifications, and abilities. We prioritize privacy and data security. For more information on our privacy practices, please refer to our Privacy Policy.

About the Role: At WITHIN, we champion growth, innovation, and forward-thinking creativity. We’re looking for a social-first creative who loves both the thinking and the making. Someone who can turn insights into ideas, ideas into content, and content into results. You’ll concept, copywrite, and oversee creation of paid digital assets for some of the most exciting brands online — and you’ll do it alongside a nimble team that values curiosity, experimentation, and great storytelling.

Responsibilities include but are not limited to:

• Ideate with purpose. Translate marketing objectives into strategically sound creative concepts — from audience insight to final execution — ensuring every idea is rooted in purpose and aligned to client goals.
• Develop strong messaging and visual hooks. Turn prompts into compelling, social-first static and video ideas that break through the noise and inspire engagement.
• Craft clear, effective copy. Know your way around a CTA — and confidently adapt marketing objectives into sharp messaging hooks, headlines, and campaign language that drive action.
• Own the entire creative process. This is really where the multidisciplinary approach comes into play. You’ll partner with our in-house team of makers and other creatives to ideate, refine, and execute social-first campaigns across paid and organic channels. From concept to delivery, you’re an autonomous thinker who owns the work stream from video edits to photo retouching to rigorous QA- every detail matters.
• Elevate creative standards. Bring a sharp point of view, thoughtful feedback, and a willingness to push ideas further — inspiring both clients and the internal team.
• Stay curious and adaptive. Track emerging trends, audience behaviors, and platform shifts to keep our work fresh, relevant, and effective.

Requirements

• Proven Track Record. 5–6 years of experience concepting, creating, and producing paid and organic social content. Your portfolio should showcase both strategic thinking and creative execution.
• Technical Proficiency. Deep working knowledge of Adobe Creative Suite (Premiere Pro, Photoshop, After Effects) and other relevant creative tools.
• Clear and Confident Communicator. Comfortable presenting creative work, articulating rationale, managing client expectations, and guiding timelines with clarity and ease.
• Strong Design Sensibility. A sharp eye for layout, composition, and movement — with the ability to translate that into high-impact static and motion creative across digital campaigns.
• Intuitive Strategic Insight. A holistic grasp of the social landscape — you don’t just follow trends; you understand the cultural and behavioral shifts that drive them.
• Versatile Collaborator. Equally comfortable leading group ideation or running a solo sprint — you know when to lean in, when to delegate, and when to run with it.
• Adaptable and Driven. You see fast-moving environments as opportunities to experiment, problem-solve, and grow.

Nice-to-Haves

• Generative AI Fluency. Familiarity with tools like Midjourney, Runway, Seeddance, Stable Diffusion, or ChatGPT for ideation and image/video generation.
• Production Experience. Hands-on experience planning or running in-studio shoots — from lighting setups and prop styling to set design and creative direction

Our interview process includes, but is not limited to, the following:

• English, Excel knowledge and Typing Test

We offer a competitive salary and benefits based on education, experience, and skills level, including: 

• Base salary DOE
• Unlimited vacation policy
• Monthly phone/internet and food stipend
• Health insurance coverage
• Professional Development Program
• This is a fully in-office role based in Bogotá, Colombia. Candidates must be available to work on-site five days a week.

Note. Please submit your resume in English.

About the role:
The AI Creative Specialist is our go-to expert for leveraging cutting-edge generative AI in both imagery and video. You’ll utilize multiple AI tools and workflows—ranging from advanced prompt engineering to model training—to craft unique, high-quality visuals for our clients. As an integral part of our post-production and creative teams, you’ll push boundaries in AI-assisted content creation while ensuring outputs remain brand-consistent and commercially viable.

Responsibilities include but are not limited to;

1. Advanced AI Model Utilization
• Expertly employ various AI models (e.g., Stable Diffusion, Midjourney, DALL·E) and interfaces (ComfyUI or similar) to produce high-fidelity visuals and short-form video content.
• Fine-tune, train, and adapt models for specialized product imagery, ensuring consistency with brand requirements.
2. Creative Integration
• Collaborate with Motion Graphics Designers, Video Editors, and Graphic Designers to embed AI-generated assets seamlessly into final deliverables.
• Guide teams on best practices for maximizing the potential of AI-generated components within larger creative campaigns.
3. Workflow Innovation
• Develop and refine processes for AI-driven content creation, including advanced prompt engineering and iterative workflows.
• Stay current on emerging AI technologies, identifying opportunities for the agency to adopt or pilot cutting-edge techniques.
4. Quality Assurance & Brand Consistency
• Oversee quality checks on AI outputs, adjusting for color, composition, and brand alignment.
• Ensure final deliverables meet both creative standards and client expectations across a variety of use cases (e.g., paid social, digital displays, print).
5. Mentorship & Training
• Provide guidance, tips, and training to junior team members interested in AI, sharing insights on prompt crafting, model selection, and best practices.
• Partner with team leads and project managers to assess project feasibility and timelines when incorporating AI-driven solutions.

Requirements

• Experience: 3+ years in a creative production or AI-focused role; proven experience delivering AI-generated content for commercial use.
• Technical Expertise: Proficient in multiple AI generation platforms and workflows (Stable Diffusion, Midjourney, ComfyUI, etc.). Skilled in model training for product or branded imagery.
• Creative & Aesthetic Sense: Strong design sensibility with a proven ability to align AI outputs to specific brand styles.
• Innovation Mindset: Demonstrated record of experimentation and successful integration of emerging AI solutions in real-world campaigns.
• Collaboration: Exceptional communication skills; comfortable leading discussions on AI-driven concepts with both technical and non-technical stakeholders.

Our interview process includes, but is not limited to, the following:

• Excel knowledge and Typing Test

We offer a competitive salary and benefits based on ability level, including:

• Base Salary - DOE
• Unlimited vacation policy
• Food stipend
• Internet/phone stipend
• Dog friendly office
• Professional Development Program
• This is a fully in-office role based in Bogotá, Colombia. Candidates must be available to work on-site five days a week.

Note. Please submit your resume in English.

About the Role: At WITHIN, we push the boundaries of digital creativity. We’re looking for a Social Editor to join our creative team, focusing on producing engaging short-form content across TikTok, Instagram Reels, YouTube Shorts, and emerging platforms. This role is perfect for a hands-on editor with a passion for storytelling in fast-moving social environments. You’ll collaborate with designers, strategists, and producers to craft culturally relevant, scroll-stopping content that drives results for our clients.

Responsibilities include but are not limited to;

• Edit and deliver engaging short-form videos optimized for TikTok, Instagram Reels, YouTube Shorts, and other social platforms.
• Create dynamic motion graphics, typography animations, and visual effects to enhance social content and drive engagement.
• Repurpose existing footage into platform-specific edits that reflect trends, client voice, and campaign goals.
• Stay on top of cultural and platform trends, integrating music, memes, and editing techniques that resonate with audiences.
• Create multiple versions and aspect ratios (9:16, 1:1, 16:9) to fit platform requirements and campaign specs.
• Collaborate with Creative Leads and Account Managers to ensure all deliverables meet creative and client standards.
• Ensure accuracy in timing, captions, graphics, and sound across all final assets.

Requirements

• 1–2 years of professional editing experience, ideally in a digital marketing, social media, or agency environment (internship experience considered).
• Strong proficiency in Adobe Premiere Pro and After Effects for motion graphics, typography animation, and visual effects.
• Familiarity with social platforms and their native editing features (TikTok, Instagram, YouTube Shorts, Capcut).
• Strong understanding of short-form content trends, pacing, and storytelling.
• Ability to manage multiple edits at once, balancing speed with quality.
• Detail-oriented with strong organizational skills.
• A collaborative mindset and eagerness to learn from senior team members.

Nice-to-Haves

• Familiarity with generative AI tools for editing, captioning, or effects.
• Hands-on experience shooting social-first content (phone or DSLR).
• Passion for pop culture, internet trends, and social storytelling.

We offer a competitive salary and benefits based on ability level, including:

• Base salary DOE
• Unlimited vacation policy
• Health insurance coverage
• Food stipend
• Internet/phone stipend
• Dog friendly office
• Professional Development Program
• This is a fully in-office role based in Bogotá, Colombia. Candidates must be available to work on-site five days a week.

Note. Please submit your resume in English.

About WPP Media 

WPP is the creative transformation company. We use the power of creativity to build better futures for our people, planet, clients and communities. For more information, visit wpp.com. 

WPP Media is WPP’s global media collective. In a world where media is everywhere and in everything, we bring the best platform, people, and partners together to create limitless opportunities for growth. For more information, visit wppmedia.com 

At WPP Media, we believe in the power of our culture and our people. It’s what elevates us to deliver exceptional experiences for both our clients and each other. In this role it will be critical to embrace WPP & WPP Media’s shared core values: 

• Be Extraordinary by Leading Collectively to Inspire transformational Creativity. 

• Create an Open environment by Balancing People and Client Experiences by Cultivating Trust. 

• Lead Optimistically by Championing Growth and Development to Mobilize the Enterprise. 

About the Role

As Senior Analyst, you are accountable for quantifying and measuring the success of our marketing and advertising executions and for delivering quantifiable insights that enable us to innovate the work we deliver at MFG. You will be partnering with Analytics and cross-discipline team members in New York, Chicago, San Francisco and Los Angeles, helping to create continuity between the various teams.

Some of the things we’d like you to do: 

• Everything with marketing data (collection, cleaning, analysis and validation)
• Communicate advertising campaign insights generated by our analysis and share communication best practices internally
• Seek knowledge of other practices in order to understand how to tailor insights and recommendations towards actionability
• Support the wider Analytics team in implementing our measurement tools
• Transform data into visually appealing presentations
• Proactively identify and resolve program & project issues, escalating appropriately
• Stay up to date on our product offerings and how it affects analytics
• Occasional vendor and client communication may be required

A bit about yourself:

• Bachelor's Degree from a top-tier college, 3.0 GPA or equivalent. Degree within Analytics, Technology, Marketing, Advertising or equivalent experience
• At least C1 English language proficiency or equivalent
• 2+ years of experience working in a marketing analytics-based role
• Proficiency in Excel, PowerPoint (Google Workspace a bonus)
• Exposure to measurement of both Brand and Direct Response marketing campaigns
• Strong project management skills
• Strong verbal and written communication
• Strong attention to detail and ability to manage multiple tasks
• Highly organized and efficient under pressure
• Natural affinity for numbers/data and a passion for playing with data in order to solve problems
• Experience with generative AI tools (Gemini, ChatGPT) a plus
• Experience with programming languages such as R, SQL, and Python a plus

About WPP Media 

WPP is the creative transformation company. We use the power of creativity to build better futures for our people, planet, clients and communities. For more information, visit wpp.com. 

WPP Media is WPP’s global media collective. In a world where media is everywhere and in everything, we bring the best platform, people, and partners together to create limitless opportunities for growth. For more information, visit wppmedia.com 

At WPP Media, we believe in the power of our culture and our people. It’s what elevates us to deliver exceptional experiences for both our clients and each other. In this role it will be critical to embrace WPP & WPP Media’s shared core values: 

• Be Extraordinary by Leading Collectively to Inspire transformational Creativity. 

• Create an Open environment by Balancing People and Client Experiences by Cultivating Trust. 

• Lead Optimistically by Championing Growth and Development to Mobilize the Enterprise.

About the rol

We are seeking a highly strategic and data-driven Director of Analytics and Marketing Measurement with at least 10 years of progressive experience in applying advanced analytics to drive business growth. The successful candidate will be responsible for leading the strategy and execution of marketing measurement, transforming complex data into actionable insights that inform business decisions, optimize campaign performance, and demonstrate the ROI of marketing investments. This role involves leading a team of analysts and working closely with marketing, sales, and product teams.

1. Key Responsibilities:

• Strategic Analytics Leadership: Define and implement the marketing analytics and measurement strategy, ensuring alignment with business objectives and client needs.
• Team Management & Leadership: Lead, mentor, and develop a team of data analysts/scientists (e.g., a team of +30 people), fostering a high-performance, collaborative, and innovative environment.
• Marketing Measurement & Optimization: Oversee the design and implementation of advanced marketing measurement models such as Marketing Mix Modeling (MMM), Multi-Touch Attribution (MTA), A/B testing, Brand Lift, and advertising effectiveness analysis.
• Actionable Insights Generation: Translate complex data and model results into clear, concise, and actionable insights for senior stakeholders (marketing, sales, general management).
• Cross-functional Collaboration: Work closely with marketing, product, sales, and technology teams to integrate analytics capabilities across all functions and processes.
• Innovation & Technology Adoption: Identify and evaluate new tools, technologies, and methodologies in analytics, measurement, and AI (including Generative AI) to enhance the company's capabilities.
• Client/Stakeholder Management: Build and maintain strong relationships with internal and external clients, presenting the value and results of analytical solutions.
• Thought Leadership: Contribute to the company's vision on measurement, advertising effectiveness, and market trends through presentations or publications.
• Project & Budget Management: Plan and manage analytics projects, ensuring on-time and on-budget delivery, and participate in the management of the analytics department's budget.

1. Required Qualifications:

• Education: Bachelor's degree in a quantitative field (Marketing, Economics, Statistics, Engineering, Mathematics, Computer Science) or a related field. Master's degree/Postgraduate qualification is a plus.
• Experience: Minimum of 10 years of progressive experience in analytics, marketing measurement, business intelligence, or data science roles, with at least 3-5 years in a team leadership or project management position in the media or advertising industries.

Technical Skills & Tools:

• Deep expertise in Marketing Mix Modeling (MMM), Multi-Touch Attribution (MTA), A/B testing, Brand Lift, and advertising effectiveness analysis.
• Proficiency in data visualization tools (e.g., Tableau, Power BI, Looker Studio).
• Experience with digital marketing platforms and analytics tools (e.g., Google Analytics, Adobe Analytics, CRM systems).
• Working knowledge of databases and query languages (SQL).
• Familiarity with the use and application of Generative AI in marketing contexts.
• Knowledge of market research and consumer behavior methodologies.
• Languages: Fluent (written and spoken) in Spanish and English.

1. Soft Skills:

• Team Leadership: Proven ability to motivate, develop, and manage high-performing teams.
• Strategic & Analytical Thinking: Ability to tackle complex problems, identify opportunities, and develop data-driven solutions.
• Effective Communication: Excellent verbal and written communication skills to present complex ideas to technical and non-technical audiences, including senior leadership.
• Results-Oriented: Strong focus on business impact and the ability to demonstrate ROI.
• Collaboration & Influence: Ability to build strong relationships and collaborate effectively with diverse stakeholders.
• Proactivity & Innovation: Capacity to identify new opportunities, propose innovative solutions, and adapt to a changing environment.

Who We Are

Build. Scale. Sustain. 

PALO IT is a global technology consultancy that crafts tech as a force for good. We design, develop and scale digital and sustainable products and services to unlock value across the triple bottom line: people, planet, profit. We do the right thing, and we do it right. We're proud to be a World Economic Forum New Champion, and a B Corp-certified company. 

• We are small enough to care locally, big enough to deliver globally (5 continents, 18 offices, +500 experts from +50 nationalities)
• We are robust and resilient (100% independent and 0 debt)
• We are entrepreneurs and passionate experts: We invest in what we believe genuinely and work as a collective intelligence
• We are positive, courageous, caring, doers and committed to excellence

About Gen-e2

While the market is still largely AI-augmenting delivery, we have reinvented the SDLC to be AI First. Our approach is a game-changer in productivity and quality, with a strong collaboration between IA generative and our best Talents:

• We now generate 95% of the entire product — code, documentation, infrastructure as code, and even design — with GitHub Copilot.
• The quality consistently exceeds the output of our best traditional engineering teams.
• A product repository houses all product artefacts, giving AI full project context for higher-quality generation.
• A library of rules and prompts defines coding standards, design principles, and security guidelines, ensuring enterprise-grade quality and scalability.

With Gen-e2, we deliver end-to-end products 2–3× faster than traditional approaches, while raising the bar for engineering excellence.

• Your willingness to do the right thing even when facing adversity 
• You care about the well-being of others and the world at large 
• You strive to approach things in a optimistic way 
• You nail the fundamentals, sweat the details 
• You understand the whole is more than the sum of its parts and actively work towards continuous improvement of the group 
     

More About PALO IT

We’re eager to adapt to change, learn from our experiences and move to meet our planet’s urgent needs. We are continuously taking action to:

• Become a climate net-zero company 
• Deliver projects with a positive impact
• Train 100% of our workforce on impact 
• Achieve B Corp certification among all our offices across the globe 
• Continuously measure & improve employee happiness

NEORIS is a Digital accelerator that helps companies enter the future, having 20 years of experience as Digital Partners of some of the largest companies in the world. We have more than 4,000 professionals in 11 countries, with our multicultural startup culture where we cultivate innovation, continuous learning to create high-value solutions for our clients.

We are seeking a highly experienced Data Scientist Senior to drive the technical vision, architecture, and delivery of advanced analytics and AI/ML solutions. This role combines deep hands-on data science expertise with strong technical leadership and stakeholder management skills.

Key Responsibilities

• Define and lead the technical strategy and architecture for scalable, production-ready data science and AI solutions, including selecting appropriate frameworks, tools, and cloud platforms; establishing best practices for model lifecycle management; and ensuring solutions are secure, maintainable, and aligned with enterprise architecture standards.

• Lead the design and implementation of machine learning, statistical, and predictive models, overseeing the full lifecycle from data exploration and feature engineering to model training, validation, tuning, and performance optimization, ensuring models are explainable, robust, and aligned with measurable business KPIs.

• Oversee the development of advanced AI solutions, including Generative AI and LLM-based systems when applicable, guiding architecture decisions for RAG pipelines, prompt engineering strategies, evaluation frameworks, and integration of AI components into enterprise applications and workflows.

• Collaborate with multi-disciplinary teams across strategy, technology, and industry to deliver integrated transformation outcomes.

• Lead and mentor Data Scientists, ML Engineers, and Analysts, building capability and fostering a culture of excellence.

   

   

   

Required Qualifications

• Tertiary qualifications in Data Science, Analytics, Engineering or related fields; postgraduate qualifications are highly regarded.
• 8+ years of experience in Data Science, Machine Learning, or Advanced Analytics.
• 3+ years in technical leadership or lead role.
• Strong understanding of statistical modeling, predictive analytics, and experimentation methodologies, with strong proficiency in Python, ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn) and cloud platforms (GCP, AWS, or Azure).
• Proven experience with MLOps practices, CI/CD, Docker, Kubernetes, or similar.
• Leadership and people management skills, with experience guiding diverse teams and developing talent.
• Strong communication skills and ability to engage both technical and non-technical stakeholders.
• Englis level: Advanced 

  We offer:

• Statutory & Major benefits
• Personal Growth
• Competitive salary
• Attractive benefits plan

Come and meet us on: http://www.neoris.com, on Facebook, LinkedIn, Twitter, or Instagram @NEORIS.

Marina Molina

#LI-MM3

Overview:
We are looking for Senior Software Engineers in LATAM to join the engineering team to help with our ongoing growth and expansion! Your focus would be on building products using Javascript and Typescript and a core Object-Oriented Programming language like Java/C++/C#. We have a complete CI/CD software lifecycle and an evolving services-oriented architecture hosted in AWS. We require Senior Software Engineers with a strong focus on AI-Native development. Proficiency in utilizing various Agentic coding tools to significantly amplify impact and accelerate implementations is essential for this role.

As a Senior Software Engineer, you’ll help shape how students, educators, and institutions interact with our technology. Whether it’s building a seamless class discovery flow, improving accessibility and performance, or integrating AI into real-time classroom experiences, your work will directly impact how people learn every day. You’ll collaborate with Product, Design, and Engineering to create fast, elegant, and responsive interfaces that bring our innovations to life.

About Nerdy:

At Nerdy (NYSE: NRDY) -  the company behind Varsity Tutors - we’re redrawing the blueprint of learning. Our Live + AI™ platform fuses real-time human expertise with proprietary generative-AI systems, setting a new bar for measurable academic impact at global scale. We recruit the kind of technologists and operators you’d bet on as solo founders - people who turn ambiguous problems into shipping code, iterate faster than markets move, and compound their advantage with every data point. In an era where great employees can deliver 10-times the leverage of the merely good, we back those who play to win.

Fortune favors the bold. Join us.

How we compete:

• AI-Native at every level
  From the CEO to day-one hires, everyone builds and ships with generative AI. If you’re not wielding AI, you’re not done.

• Entrepreneurial velocity
  Move at founder speed, prototype in hours, and measure in real user outcomes. Slow teams die.

• Free-market rigor
  Ideas rise or fall on merit and results - no committees, no politics, no cap on upside.

• Full-stack ownership
  You design, build, and run what you ship; accountability is a feature, not a bug.

• Reward for contribution
  Pay rises with impact, not years. Outstanding results earn outsized rewards. We evaluate both what you achieve and how you achieve it: living our leadership principles and using AI effectively are formally measured and rewarded.

• Relentless exploration
  Push the frontier of generative AI in live learning and - because only the paranoid survive - questioning every legacy assumption along the way.

• Is Apolitical
  You stay focused on mission-aligned outcomes, not distractions or unrelated causes.

If you’re a technically minded builder who thrives on open competition, personal responsibility, and the chance to redefine how the world learns - while continually stretching the limits of what generative AI can do - come do the most ambitious and rewarding work of your career here. Learn more at nerdy.com.

Nerdy’s shareholder letters below explain our latest products and strategy:

• Q4-2025 Shareholder Letter
• Q3-2025 Shareholder Letter
• Q2-2025 Shareholder Letter

Qualifications:

• Experience with Javascript and Typescript.
• Experience with a core Object-Oriented Programming language like Java/C++/C#
• Familiarity with backend services & technologies is a plus.
• Experience with deployment systems (e.g. GitHub Actions, AWS CodeDeploy).
• Familiarity with AWS Services (e.g. RDS, Lambda, EC2, et cetera).
• Familiarity with the Linux operating system and command-line tools.
• Understanding of OO design, algorithms, and data structures.
• Aptitude to quickly learn new languages and technologies as necessary.
• Experience developing websites that are visited by thousands of visitors daily.
• Experience with enhancing SEO performance.
• Experienced with AI-native tools that enhance productivity and speed (e.g., Cursor, Make, Supabase, Netlify, Claude Code, n8n, Firecrawl, ChatGPT, Grok, Bolt, Vercel, etc).
• Understand and appreciate that Nerdy is an apolitical company and that we can have the largest impact if we are united in our focus on helping people learn and not divided or distracted by advancing unrelated causes.
• Computer Science or related degree preferred.
• Fluent in English.

Responsibilities:

• Write performant, maintainable code that is easy to read and well-documented.
• Write automated tests to thoroughly validate the correctness of your code.
• Deploy large-scale web applications.
• Have a focus on quality, and operate iteratively to get from good to better.
• Be a part of your team’s on-call rotation; we all own our code end-to-end from development to deployment to operations.
• Come ready to learn from some of the best and brightest in the industry.
• Work independently and collaboratively in a dynamic and fast-moving team.
• Be effective in a team environment working with fellow engineers, product management, and design.

Unlock Your Full Potential at Nerdy:

Join our worldwide team—work from home, get great pay, and help shape the future of learning. Here’s what you get:

• Competitive USD Compensation: Enjoy a market-leading rate paid in U.S. dollars.

• 100% Remote (Home Country Only): Work from anywhere in your home country—no relocation required, no borders crossed.

• Flexible Time Off: Our flexible PTO lets you recharge on your own terms and when you need it the most.

• Local Holiday Pay: We honor your nation’s official holidays with paid time off—celebrate what matters to you.

• Continuous Learning: Get a free, all-inclusive learning membership for you and your household—including 1-on-1 tutoring hours, unlimited on-demand classes, and access to our full suite of learning products and services.

• Supercharge with AI: Gain exclusive access to cutting-edge AI tools that boost your productivity, making you feel almost super-human (cape not included).

• Feedback-Rich, Collaborative Culture: Tap into regular training, peer reviews, and a team that treats every team member as a vital collaborator and owner in our success.

• Make a Global Impact: Your expertise fuels an innovative platform used by learners around the world—be part of something transformative.

The Bottom Line:

If you're driven by impact, energized by ownership, and excited to help shape what’s next, you’ll thrive here. We move fast, think big, and reward those who deliver. This isn’t a traditional corporate environment - it’s a place to do the most meaningful work of your career.

Overview:
We are looking for Senior Software Engineers in LATAM to join the engineering team to help with our ongoing growth and expansion! Your focus would be on building products using Javascript and Typescript and a core Object-Oriented Programming language like Java/C++/C#. We have a complete CI/CD software lifecycle and an evolving services-oriented architecture hosted in AWS. We require Senior Software Engineers with a strong focus on AI-Native development. Proficiency in utilizing various Agentic coding tools to significantly amplify impact and accelerate implementations is essential for this role.

As a Senior Software Engineer, you’ll help shape how students, educators, and institutions interact with our technology. Whether it’s building a seamless class discovery flow, improving accessibility and performance, or integrating AI into real-time classroom experiences, your work will directly impact how people learn every day. You’ll collaborate with Product, Design, and Engineering to create fast, elegant, and responsive interfaces that bring our innovations to life.

About Nerdy:

At Nerdy (NYSE: NRDY) -  the company behind Varsity Tutors - we’re redrawing the blueprint of learning. Our Live + AI™ platform fuses real-time human expertise with proprietary generative-AI systems, setting a new bar for measurable academic impact at global scale. We recruit the kind of technologists and operators you’d bet on as solo founders - people who turn ambiguous problems into shipping code, iterate faster than markets move, and compound their advantage with every data point. In an era where great employees can deliver 10-times the leverage of the merely good, we back those who play to win.

Fortune favors the bold. Join us.

How we compete:

• AI-Native at every level
  From the CEO to day-one hires, everyone builds and ships with generative AI. If you’re not wielding AI, you’re not done.

• Entrepreneurial velocity
  Move at founder speed, prototype in hours, and measure in real user outcomes. Slow teams die.

• Free-market rigor
  Ideas rise or fall on merit and results - no committees, no politics, no cap on upside.

• Full-stack ownership
  You design, build, and run what you ship; accountability is a feature, not a bug.

• Reward for contribution
  Pay rises with impact, not years. Outstanding results earn outsized rewards. We evaluate both what you achieve and how you achieve it: living our leadership principles and using AI effectively are formally measured and rewarded.

• Relentless exploration
  Push the frontier of generative AI in live learning and - because only the paranoid survive - questioning every legacy assumption along the way.

• Is Apolitical
  You stay focused on mission-aligned outcomes, not distractions or unrelated causes.

If you’re a technically minded builder who thrives on open competition, personal responsibility, and the chance to redefine how the world learns - while continually stretching the limits of what generative AI can do - come do the most ambitious and rewarding work of your career here. Learn more at nerdy.com.

Nerdy’s shareholder letters below explain our latest products and strategy:

• Q4-2025 Shareholder Letter
• Q3-2025 Shareholder Letter
• Q2-2025 Shareholder Letter

Qualifications:

• Experience with Javascript and Typescript.
• Experience with a core Object-Oriented Programming language like Java/C++/C#
• Familiarity with backend services & technologies is a plus.
• Experience with deployment systems (e.g. GitHub Actions, AWS CodeDeploy).
• Familiarity with AWS Services (e.g. RDS, Lambda, EC2, et cetera).
• Familiarity with the Linux operating system and command-line tools.
• Understanding of OO design, algorithms, and data structures.
• Aptitude to quickly learn new languages and technologies as necessary.
• Experience developing websites that are visited by thousands of visitors daily.
• Experience with enhancing SEO performance.
• Experienced with AI-native tools that enhance productivity and speed (e.g., Cursor, Make, Supabase, Netlify, Claude Code, n8n, Firecrawl, ChatGPT, Grok, Bolt, Vercel, etc).
• Understand and appreciate that Nerdy is an apolitical company and that we can have the largest impact if we are united in our focus on helping people learn and not divided or distracted by advancing unrelated causes.
• Computer Science or related degree preferred.
• Fluent in English.

Responsibilities:

• Write performant, maintainable code that is easy to read and well-documented.
• Write automated tests to thoroughly validate the correctness of your code.
• Deploy large-scale web applications.
• Have a focus on quality, and operate iteratively to get from good to better.
• Be a part of your team’s on-call rotation; we all own our code end-to-end from development to deployment to operations.
• Come ready to learn from some of the best and brightest in the industry.
• Work independently and collaboratively in a dynamic and fast-moving team.
• Be effective in a team environment working with fellow engineers, product management, and design.

Unlock Your Full Potential at Nerdy:

Join our worldwide team—work from home, get great pay, and help shape the future of learning. Here’s what you get:

• Competitive USD Compensation: Enjoy a market-leading rate paid in U.S. dollars.

• 100% Remote (Home Country Only): Work from anywhere in your home country—no relocation required, no borders crossed.

• Flexible Time Off: Our flexible PTO lets you recharge on your own terms and when you need it the most.

• Local Holiday Pay: We honor your nation’s official holidays with paid time off—celebrate what matters to you.

• Continuous Learning: Get a free, all-inclusive learning membership for you and your household—including 1-on-1 tutoring hours, unlimited on-demand classes, and access to our full suite of learning products and services.

• Supercharge with AI: Gain exclusive access to cutting-edge AI tools that boost your productivity, making you feel almost super-human (cape not included).

• Feedback-Rich, Collaborative Culture: Tap into regular training, peer reviews, and a team that treats every team member as a vital collaborator and owner in our success.

• Make a Global Impact: Your expertise fuels an innovative platform used by learners around the world—be part of something transformative.

The Bottom Line:

If you're driven by impact, energized by ownership, and excited to help shape what’s next, you’ll thrive here. We move fast, think big, and reward those who deliver. This isn’t a traditional corporate environment - it’s a place to do the most meaningful work of your career.

Robots & Pencils is seeking an AI Engineer / AI Architect to design, build, and scale production-grade AI systems that deliver measurable business value. 

This is a hands-on technical leadership role. You will define system architectures, lead implementation of scalable AI platforms, and guide teams through the full lifecycle of AI development, from experimentation and model iteration to secure, observable production deployment. 

As a Level 4 leader, you are expected to own complex AI systems end-to-end, influence technical direction, mentor engineers, and make principled architectural tradeoffs under real-world constraints. 

Key Responsibilities 

AI Architecture & Technical Strategy 

• Define AI system architecture aligned to business objectives and long-term scalability 

• Translate ambiguous AI opportunities into structured technical approaches 

• Design modular, extensible AI platforms supporting experimentation and production workloads 

• Establish architecture decision records (ADRs) and technical documentation standards 

AI System Design & Implementation 

• Lead design and implementation of ML systems, model services, and inference pipelines 

• Build scalable training, evaluation, and deployment workflows 

• Architect data ingestion, feature engineering, and model serving strategies 

• Ensure reliability, observability, and performance optimization of AI systems 

AI Platform & Infrastructure 

• Design and implement end-to-end AI pipelines and agentic orchestration frameworks. 

• Establish LLMOps best practices including CI/CD, prompt versioning, and real-time model observability. 

• Optimize distributed inference systems and retrieval-augmented generation (RAG) performance. 

• Ensure AI infrastructure aligns with security, compliance, and GPU/token cost-efficiency standards. 

Research-to-Production Acceleration 

• Bridge research and engineering by operationalizing prototypes into production-ready systems 

• Define evaluation metrics, validation processes, and rollout strategies 

• Improve iteration velocity through tooling and automation 

Technical Leadership & Mentorship 

• Mentor junior and mid-level AI engineers 

• Lead code reviews and enforce engineering standards 

• Guide teams in making informed tradeoffs across performance, scalability, cost, and complexity 

• Contribute to shared AI best practices and internal accelerators 

Cross-Functional Collaboration 

• Partner with product, engineering, and executive stakeholders to shape AI roadmaps 

• Communicate technical strategy and system tradeoffs clearly to non-technical audiences 

• Align AI initiatives with business value and measurable outcomes 

Required Skills & Qualifications 

• 5+ years of experience in AI/ML engineering or applied machine learning 

• Proven experience designing and deploying production AI systems 

• Strong software engineering background (Python or similar) 

• Experience with distributed systems and scalable data architectures 

• Deep understanding of MLOps, model lifecycle management, and AI infrastructure 

• Experience building and maintaining ML pipelines and automated deployment workflows 

• Strong problem-solving skills and architectural judgment 

• Demonstrated leadership and mentoring experience 

• Excellent communication skills for technical and executive stakeholders 

Nice to Have 

• Experience with generative AI, LLM systems, or retrieval-augmented architectures 

• Exposure to multi-agent or agentic AI systems 

• Experience with cloud-based AI platforms and infrastructure-as-code 

• Background in consulting or professional services environments 

• Experience designing AI systems in regulated or security-sensitive domains 

• Hands-on AWS experience supporting cloud-native or AI/ML production systems. 

• AWS certifications (Associate or Professional level) or equivalent practical AWS expertise. 

Personal Competencies 

• Architectural Thinking – Designs systems that scale and evolve 

• Technical Ownership – Drives AI initiatives from concept to production 

• Engineering Rigor – Prioritizes reliability, observability, and maintainability 

• Mentorship – Elevates team capability through guidance and example 

• Execution Focus – Delivers production-ready systems, not just prototypes 

• Comfort in Ambiguity – Translates unclear AI challenges into structured solutions 

Why Join Robots & Pencils? 

At Robots & Pencils, we build intelligent systems for real-world environments, blending creativity, engineering excellence, and applied AI to help organizations work smarter. Our teams partner directly with leading North American organizations to design and deliver production-ready digital and AI solutions that create measurable impact. 

As an AI Engineer, you will build production AI systems alongside experienced architects and senior engineers, strengthening your foundation in machine learning, scalable system design, and modern cloud-native delivery. You’ll collaborate closely with US-based clients, gaining hands-on exposure to complex problem-solving while contributing to meaningful, real-world outcomes. 

By joining Robots & Pencils, you also benefit from our Advanced AWS Partnership and participation in the highly exclusive AWS Patterns Partnership, a distinction held by only 11 companies worldwide out of more than 190,000 AWS partners. This provides access to specialized training, early access to emerging cloud capabilities, and advanced engineering resources that support accelerated professional growth. 

This is a role for builders who want to sharpen their craft, grow quickly, and deliver impactful AI systems within an elite global engineering ecosystem. 

Robots & Pencils is seeking an AI Engineer to design, build, and deploy production-grade AI systems that deliver measurable business value. 

This is a hands-on engineering role focused on implementation and delivery. You will contribute to scalable AI systems and ML pipelines, working within established architectural direction while collaborating closely with senior engineers, product managers, and cross-functional teams. 

You will be expected to deliver independently on well-defined features, contribute to system design discussions, and maintain high standards for reliability, performance, and maintainability. 

Key Responsibilities 

AI System Implementation 

• Implement machine learning models, inference services, and supporting APIs 

• Contribute to the development of training, evaluation, and deployment workflows 

• Build data ingestion and feature engineering components aligned to defined architecture 

• Ensure reliability, performance, and stability of AI services in production environments 

AI Pipelines & Infrastructure 

• Contribute to the development and orchestration of AI pipelines and agentic workflows. 

• Support LLMOps processes for automated model deployment, versioning, and prompt management. 

• Implement monitoring and observability to track token usage, model drift, and hallucinations. 

• Debug and resolve complex issues across LLM layers, data ingestion, and cloud infrastructure. 

Research-to-Production Support 

• Collaborate with senior engineers to operationalize research prototypes 

• Implement evaluation metrics and validation processes 

• Support rollout and iteration of AI features based on performance data 

Collaboration & Delivery 

• Work closely with product and engineering teams to implement AI-driven features 

• Participate in sprint planning, estimation, and technical discussions 

• Contribute to documentation and shared engineering standards 

• Communicate progress, blockers, and risks clearly 

Required Skills & Qualifications 

• 3–5 years of experience in AI/ML engineering or applied machine learning 

• Experience building and deploying ML models in production environments 

• Strong software engineering background (Python or similar) 

• Familiarity with distributed systems and scalable data processing 

• Experience contributing to ML pipelines and automated deployment workflows 

• Working knowledge of MLOps concepts (model versioning, monitoring, CI/CD) 

• Ability to debug issues across model, application, and infrastructure layers 

• Strong problem-solving skills and attention to detail 

• Effective communication skills within technical teams 

Nice to Have 

• Exposure to generative AI or LLM-based systems 

• Familiarity with retrieval-augmented generation (RAG) architectures 

• Experience working with cloud-based AI platforms 

• Exposure to infrastructure-as-code or DevOps practices 

• Experience working in consulting or delivery-focused environments 

• Hands-on AWS experience supporting cloud-native or AI/ML production systems. 

• AWS certifications (Associate or Professional level) or equivalent practical AWS expertise. 

Personal Competencies 

• Execution-Focused – Delivers high-quality implementations within established architecture 

• Engineering Discipline – Writes reliable, maintainable, and well-tested code 

• Collaborative – Works effectively within cross-functional teams 

• Problem-Solving Mindset – Investigates issues methodically across layers 

• Ownership – Takes responsibility for assigned work from implementation through release 

• Growth-Oriented – Seeks feedback and continuously improves technical craft 

Why Join Robots & Pencils? 

At Robots & Pencils, we build intelligent systems for real-world environments, blending creativity, engineering excellence, and applied AI to help organizations work smarter. Our teams partner directly with leading North American organizations to design and deliver production-ready digital and AI solutions that create measurable impact. 

As an AI Engineer, you will build production AI systems alongside experienced architects and senior engineers, strengthening your foundation in machine learning, scalable system design, and modern cloud-native delivery. You’ll collaborate closely with US-based clients, gaining hands-on exposure to complex problem-solving while contributing to meaningful, real-world outcomes. 

By joining Robots & Pencils, you also benefit from our Advanced AWS Partnership and participation in the highly exclusive AWS Patterns Partnership, a distinction held by only 11 companies worldwide out of more than 190,000 AWS partners. This provides access to specialized training, early access to emerging cloud capabilities, and advanced engineering resources that support accelerated professional growth. 

This is a role for builders who want to sharpen their craft, grow quickly, and deliver impactful AI systems within an elite global engineering ecosystem.