ML Engineer Jobs in Sao Paulo.
All active ML Engineer roles based in Sao Paulo.
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Engineering Manager, Resolutions Platform - Brazil
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About the Team
At DoorDash, we’re on a mission to empower local economies — and that mission drives everything we do. What started as food delivery has evolved into a technology and logistics platform designed to help people access anything in their city, from meals to everyday essentials. We’re building the future of local commerce, and we’re looking for team members excited to be part of that journey.
Joining DoorDash means working in a fast-paced, dynamic environment where your ideas can shape products, impact millions of users, and help merchants, Dashers, and customers thrive. We value creativity, ownership, and continuous learning — and we’re committed to creating a workplace where everyone can grow their careers while making a real difference.
We also care deeply about our team’s well-being. DoorDash offers comprehensive benefits, including premium healthcare, paid parental leave, wellness reimbursements, and more — because we believe that when our people thrive, our communities thrive too.
About the Role
You will lead a team of backend engineers responsible for the design and evolution of DoorDash’s Resolution Center platform. Your focus will be on building and scaling the systems that power Credits and Refunds, operational interventions, and resolution workflows across self-help, chatbot, voicebot, and agent-assisted channels.
You will partner closely with Product, Machine Learning, Fraud, Data Science, and Strategy & Operations to define and deliver a roadmap that integrates ML-driven decisions, workflow orchestration, and strong configuration safeguards into high-volume production systems. This platform directly influences cost, fraud exposure, and customer trust. You will own the technical direction and operational excellence required to run it at scale.
You're excited about this opportunity because you will…
- Lead and grow a high-performing team of backend engineers focused on Credits & Refunds, operational resolution workflows, and policy configuration systems.
- Own the migration of resolution workflows to the unified stack, ensuring data continuity, reliability, and zero regression in production systems.
- Partner with Machine Learning teams to productionize AI-driven C&R models and integrate them safely into high-volume workflows.
- Shape the long-term architecture of a decision engine that balances personalization, fraud prevention, and business guardrails.
- Improve configuration safety by implementing validation tooling, staged rollouts, and guardrails to reduce operational risk.
- Mentor engineers in distributed systems design, experimentation frameworks, and platform excellence.
- Foster a culture of ownership, velocity, and strong cross-functional collaboration.
- Partner with Recruiting to build a diverse, inclusive, and high-caliber engineering team.
We're excited about you because you have…
- BS, M.S., or PhD. in Computer Science or related field
- 2+ years of experience in people management, leading eading backend/platform teams of 5+ engineers
- 7+ years of industry experience
- Experience working with remote teams in different time zone(s) and fluency in English
- Extensive experience as an engineer in a fast-paced, product-focused development environment
- Experience with distributed system design, system scaling, and performance optimization
- Hands-on leadership and strong product intuition
- Humility - willing to get into the details and open to feedback
- Growth mindset - you're eager to expand your skill set and excited to carve out your career path in a hyper-growth setting
- Adaptability, resiliency, and ability to thrive in ambiguity - things can change quickly, and you'll need to help the team evolve
Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only
We use Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or promotion process, we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023, and resumed using Covey Scout for Inbound again on June 29, 2024.
The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: Covey
About DoorDash
At DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users—from Dashers to merchant partners to consumers. We are a technology and logistics company that started by enabling door-to-door delivery, and we are looking for team members who can help us go from a company that is known as the place you order food to a company that people turn to for any and all goods.
DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're committed to supporting employees’ happiness, healthiness, and overall well-being by providing comprehensive benefits and perks.
Our Commitment to Diversity and Inclusion
We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.
This position is open to candidates with disabilities. DoorDash welcomes applicants registered with the national autism registry (SisTEA) and others who seek an inclusive workplace.
If you need any accommodations, please inform your recruiting contact upon initial connection.
We use Covey as part of our hiring and/or promotional process for jobs in certain locations.
The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: https://getcovey.com/nyc-local-law-144
To request a reasonable accommodation under applicable law or alternate selection process, please inform your recruiting contact upon initial connection.
Ready to apply?
Apply to DoorDash Brazil
About Telnyx
Telnyx is an industry leader that's not just imagining the future of global connectivity—we're building it. From architecting and amplifying the reach of a private, global, multi-cloud IP network, to bringing hyperlocal edge technology right to your fingertips through intuitive APIs, we're shaping a new era of seamless interconnection between people, devices, and applications.
We're driven by a desire to transform and modernize what's antiquated, automate the manual, and solve real-world problems through innovative connectivity solutions. As a testament to our success, we're proud to stand as a financially stable and profitable company. Our robust profitability allows us not only to invest in pioneering technologies but also to foster an environment of continuous learning and growth for our team.
Our collective vision is a world where borderless connectivity fuels limitless innovation. By joining us, you can be part of laying the foundations for this interconnected future. We're currently seeking passionate individuals who are excited about the opportunity to contribute to an industry-shaping company while growing their own skills and careers.
The Opportunity
Our AI teams build highly available, low-latency microservices using modern, cloud-native technologies. This role sits within our broader AI organization and focuses on developing the platforms, services, and tooling that support AI-powered products — from inference and embeddings to APIs, data flows, and observability.
You’ll work in a fast-paced environment where reliability, performance, and usability matter just as much as innovation. While some squads work closer to inference pipelines and LLM tooling, others focus on platform foundations, troubleshooting and reliability, data systems, or observability — all critical to delivering AI in production at scale.
What You’ll Do
- Build, test, and deploy scalable microservices for AI-powered systems, including text and voice processing
- Design developer-friendly APIs, agents and internal tools that make AI easy to use across the Telnyx product ecosystem
- Contribute to AI inference, embeddings, and platform services that support real-time and low-latency workloads
- Optimize performance, reliability, and observability in production environments
- Collaborate closely with Product, Infrastructure, and ML teams to bring features from ideation to production
- Troubleshoot, debug, and support critical systems running in production
- Participate in code reviews and uphold high engineering and operational standards
Depending on the squad, your focus may lean more toward inference pipelines, platform foundations, observability, data systems, or production troubleshooting.
Who We’re Looking For
- Someone who has built something with cutting-edge AI tooling (something that has only become possible in the last 6 months, rolling from application date). It doesn't really matter what it is; we just want to know you are building and staying up to date.
- Strong understanding of async programming, concurrency, and parallel execution
- Experience with microservice-based systems
- Excellent communication skills and the ability to work effectively across teams
Nice to Haves
- Familiarity with LLM frameworks and tools (e.g. PyTorch, Transformers, DeepSpeed, vLLM)
- Experience with distributed computing frameworks such as Ray (Ray Core, Serve, Train)
- Exposure to cloud-native stacks (Docker, Kubernetes, Prometheus, Jaeger)
- Knowledge of LLM optimization techniques (e.g. quantization, speculative decoding)
- Background in Retrieval Augmented Generation (RAG) systems
How We Hire Across Our AI Teams
Our AI Chapter is made up of multiple squads, including:
- AI application & software engineering
- Platform & infrastructure foundations
- Troubleshooting, reliability, and production support
- Data, storage, and embeddings
- Observability and performance monitoring
We hire into a shared AI engineering pipeline. During interviews, we focus on core engineering skills, system design, and problem-solving ability. Final squad alignment happens later, based on:
- Your strengths and interests
- Team needs at the time
- Where you’ll have the biggest long-term impact
This means the exact focus of the role may vary by squad, but the core expectation remains the same: building reliable, scalable AI systems in production.
Why You’ll Love It Here
At Telnyx, we’re not just building products — we’re building the future of intelligent communication. Our TelnyxAI platform empowers developers and businesses to:
- Store and serve vector embeddings at scale
- Use open-source models with our hosted inference infrastructure
- Deploy multimodal AI features across text, voice, and storage seamlessly
You’ll have the autonomy to take ownership of meaningful projects, contribute ideas that shape the product roadmap, and collaborate with talented people who care deeply about impact, quality, and long-term thinking.
#LI-KG1
#LI-BRAZIL
#LI-INDIA
Ready to apply?
Apply to Telnyx
About Telnyx
Telnyx is an industry leader that's not just imagining the future of global connectivity—we're building it. From architecting and amplifying the reach of a private, global, multi-cloud IP network, to bringing hyperlocal edge technology right to your fingertips through intuitive APIs, we're shaping a new era of seamless interconnection between people, devices, and applications.
We're driven by a desire to transform and modernize what's antiquated, automate the manual, and solve real-world problems through innovative connectivity solutions. As a testament to our success, we're proud to stand as a financially stable and profitable company. Our robust profitability allows us not only to invest in pioneering technologies but also to foster an environment of continuous learning and growth for our team.
Our collective vision is a world where borderless connectivity fuels limitless innovation. By joining us, you can be part of laying the foundations for this interconnected future. We're currently seeking passionate individuals who are excited about the opportunity to contribute to an industry-shaping company while growing their own skills and careers.
The Opportunity
Our AI teams build highly available, low-latency microservices using modern, cloud-native technologies. This role sits within our broader AI organization and focuses on developing the platforms, services, and tooling that support AI-powered products — from inference and embeddings to APIs, data flows, and observability.
You’ll work in a fast-paced environment where reliability, performance, and usability matter just as much as innovation. While some squads work closer to inference pipelines and LLM tooling, others focus on platform foundations, troubleshooting and reliability, data systems, or observability — all critical to delivering AI in production at scale.
What You’ll Do
- Build, test, and deploy scalable microservices for AI-powered systems, including text and voice processing
- Design developer-friendly APIs, agents and internal tools that make AI easy to use across the Telnyx product ecosystem
- Contribute to AI inference, embeddings, and platform services that support real-time and low-latency workloads
- Optimize performance, reliability, and observability in production environments
- Collaborate closely with Product, Infrastructure, and ML teams to bring features from ideation to production
- Troubleshoot, debug, and support critical systems running in production
- Participate in code reviews and uphold high engineering and operational standards
Depending on the squad, your focus may lean more toward inference pipelines, platform foundations, observability, data systems, or production troubleshooting.
Who We’re Looking For
- Someone who has built something with cutting-edge AI tooling (something that has only become possible in the last 6 months, rolling from application date). It doesn't really matter what it is; we just want to know you are building and staying up to date.
- Strong understanding of async programming, concurrency, and parallel execution
- Experience with microservice-based systems
- Excellent communication skills and the ability to work effectively across teams
Nice to Haves
- Familiarity with LLM frameworks and tools (e.g. PyTorch, Transformers, DeepSpeed, vLLM)
- Experience with distributed computing frameworks such as Ray (Ray Core, Serve, Train)
- Exposure to cloud-native stacks (Docker, Kubernetes, Prometheus, Jaeger)
- Knowledge of LLM optimization techniques (e.g. quantization, speculative decoding)
- Background in Retrieval Augmented Generation (RAG) systems
How We Hire Across Our AI Teams
Our AI Chapter is made up of multiple squads, including:
- AI application & software engineering
- Platform & infrastructure foundations
- Troubleshooting, reliability, and production support
- Data, storage, and embeddings
- Observability and performance monitoring
We hire into a shared AI engineering pipeline. During interviews, we focus on core engineering skills, system design, and problem-solving ability. Final squad alignment happens later, based on:
- Your strengths and interests
- Team needs at the time
- Where you’ll have the biggest long-term impact
This means the exact focus of the role may vary by squad, but the core expectation remains the same: building reliable, scalable AI systems in production.
Why You’ll Love It Here
At Telnyx, we’re not just building products — we’re building the future of intelligent communication. Our TelnyxAI platform empowers developers and businesses to:
- Store and serve vector embeddings at scale
- Use open-source models with our hosted inference infrastructure
- Deploy multimodal AI features across text, voice, and storage seamlessly
You’ll have the autonomy to take ownership of meaningful projects, contribute ideas that shape the product roadmap, and collaborate with talented people who care deeply about impact, quality, and long-term thinking.
#LI-KG1
#LI-BRAZIL
Ready to apply?
Apply to Telnyx
Senior Machine Learning Engineer - Refer
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Senior Machine Learning Engineers at Thoughtworks build, maintain and test the architecture and infrastructure for managing machine learning applications. They are involved in supporting and contributing to the design of the end-to-end applications and products. They are responsible for building core capabilities including technical and functional machine learning systems and applications, being the anchor for functional streams of work and are accountable for timely delivery.
As a senior machine learning engineer, you will work on the latest tools, frameworks and offerings while also being involved in enabling credible and collaborative problem solving to execute on a strategy.
Job responsibilities
- You will contribute to design and drive the development of robust scalable architectures and infrastructure for deploying and managing machine learning (ML) applications, ensuring high availability, performance and security
- You will collaborate with data scientists and engineers to translate business needs into effective and efficient ML systems and applications
- You will own the development and maintenance of core functionalities within ML applications, including ML pipelines, model training and deployment, and monitoring and evaluation
- You will drive the functional stream of work by providing technical expertise, handling team discussions and ensuring timely delivery of assigned tasks
- You will stay ahead of the curve by actively exploring and implementing the latest tools, frameworks and offerings in the ML landscape
- You will facilitate collaborative problem solving within the team by actively listening, communicating effectively and mentoring other engineers
- You will contribute to the development and execution of the team's overall ML strategy, aligning technical capabilities with business objectives
- You will proactively identify and address challenges related to ML systems and applications, proposing solutions and implementing improvements
Job qualifications
Technical Skills
- You have experience in writing clean, maintainable and testable code, demonstrating attention to refactoring and readability of the code
- You are proficient in scripting languages such as Python or Shell for automation and task streamlining
- You have knowledge of distributed systems and scalable architectures to handle large-scale ML applications
- You have experience with building, deploying, and maintaining ML systems using relevant ML techniques and platforms, i.e.: Scikit-learn, Tensorflow, MLFlow, Kubeflow, Pytorch
- You have experience with building, deploying and maintaining ML systems and experience with application of MLOps principles and CI/CD to ML
- You have experience in machine learning engineering and data science, are familiar with key ML concepts, algorithms and frameworks, and understand ML model lifecycles
- You have experience with designing and operating the infrastructure required to run different types of ML training and serving workloads, i.e.: on-premise vs. cloud infrastructure, infrastructure as code, monitoring, etc.
- You have hands-on experience with on-premise and cloud services for building and deploying ML pipelines, i.e.: Azure, AWS, GCP or Databricks and associated ML managed services
Professional Skills
- You understand the importance of stakeholder management and can easily liaise between clients and other key stakeholders throughout projects, ensuring buy-in and gaining trust along the way
- You are resilient in ambiguous situations and can adapt your role to approach challenges from multiple perspectives
- You don’t shy away from risks or conflicts, instead you take them on and skillfully manage them
- You are eager to coach, mentor and motivate others and you aspire to influence teammates to take positive action and accountability for their work
- You enjoy influencing others and always advocate for technical excellence while being open to change when needed
Other things to know
Learning & Development
There is no one-size-fits-all career path at Thoughtworks: however you want to develop your career is entirely up to you. But we also balance autonomy with the strength of our cultivation culture. This means your career is supported by interactive tools, numerous development programs and teammates who want to help you grow. We see value in helping each other be our best and that extends to empowering our employees in their career journeys.
Travel
While we’ve traditionally been a traveling consultancy, we have adopted a hybrid working model with the majority of work being completed remotely from either home or local Thoughtworks offices. However, business travel to client locations should be expected when required by Thoughtworks or our clients’ needs.
Company Policies
We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law.
About Thoughtworks
Thoughtworks is a global technology consultancy that integrates strategy, design and engineering to drive digital innovation. For 30+ years, our clients have trusted our autonomous teams to build solutions that look past the obvious. Here, computer science grads come together with seasoned technologists, self-taught developers, midlife career changers and more to learn from and challenge each other. Career journeys flourish with the strength of our cultivation culture, which has won numerous awards around the world.
Join Thoughtworks and thrive. Together, our extra curiosity, innovation, passion and dedication overcomes ordinary.
#LI-Remote
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Senior Backend Engineer - Contract
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At Roofr, we’re obsessed with our customers. We constantly gather feedback to shape, prioritize, and launch the products they truly need. That’s what makes Roofr’s CRM special. We started by building essential sales tools like aerial roof measurements and digital sales proposals. But when our customers asked for a simple, affordable way to manage and scale their entire businesses, we listened. So, we created a CRM that connects these solutions—along with payments, material ordering, and more—into a seamless, powerful platform. With a clear roadmap ahead, we’re excited to continue expanding and leading the market with innovative products.
We have an amazing culture, strong financials, and best-in-class company metrics. It’s an exciting time to be part of an extraordinary startup that is already successful, yet still early enough to offer its team significant growth, equity, and the opportunity to make a real impact.
This position is for an existing vacancy.
- Help drive backend architecture to the next stage of Roof’s systems
- Work in a fast-paced cross-functional team that values doing things ‘the right way’
- Contribute in an early-stage company with engineering first culture
- Contributing to all aspects of the Software Development Lifecycle, from planning to delivery
- Collaborating with the cross-functional team members to develop technical requirements
- Writing clean code to develop functional web applications and reusable libraries
- Writing unit, functional, and acceptance tests
- Troubleshooting and supporting production applications
What You'll Bring to the Role:
- 5+ years of software development experience
- Proficiency with PHP language & Laravel framework
- Is a champion of agile methodologies and enjoys shipping code often and confidently
- Has a track record on breaking down complex problems as incremental solutions
- Proactively recommends initiatives to improve our engineering technologies and culture
- Enjoys working in a collaborative environment where everyone helps each other grow
- Takes ownership of the product and is proud of the quality of their work
- Has excellent communication skills and appreciates the value of good documentation
- Understands the challenges of early-stage company priorities
- We would love someone that has skills in DevOps, Big Data / Data Science, Machine learning, GIS
This is an ongoing contract role
Our compensation ranges are built using multiple market benchmarks and reflect both the scope of the role and current market data. While many hires fall within the beginning to midpoint of the band to allow for growth over time, we tailor offers based on each candidate’s experience, seniority, and demonstrated impact.
🏠 What we offer (US + Canada)
When you join our team, you’re not just accepting a job. You’re making a career move. Here’s how we’ll support you in doing some of the most impactful work of your career:
🏝️ Vacation/Paid Time Off:
- 1st week of employment is mandatory PTO! Start your journey with Roofr by decompressing and recharging - we will see you in week 2!
- 1 Friday off per month (we call those our laundry days!)
- Company wide paid shutdown for the week between Christmas and New Years
- Flexible time off
- 80% employer-paid benefits in the U.S. and 100% employer-paid premiums for Extended Healthcare and Dental in Canada
- RRSP/401k match
- Generous Parental Leave policy
🤝 Perks:
- We host an annual company retreat with great team building activities
- Ample learning and development opportunities to continue growing your career
- Home office setup stipend
- Internet and phone allowance
- Remote first culture
- Weekly Friday paydays!
🤖 AI Notice
At Roofr, we’re big fans of AI. It helps us write job descriptions that don’t put you to sleep, takes notes during interviews so we can actually listen, and even helps us track down awesome humans like you.
Feel free to use AI to prep, research, or get pumped up for your interview (we see you, ChatGPT power users 👀). But when it’s time to chat, we’d love to meet you, not your AI alter ego. Bring your real, unfiltered self, we promise we will too.
And don’t worry, a real, live human is behind every part of our process. Every application is reviewed by a real person, and you’ll always speak with real humans throughout the interview process. No bots, just good people ☺️
⚠️ Important Notice
We’ve been made aware of an individual impersonating Roofr using a fraudulent domain: roofrr.com (note the extra “r”). Our company takes the security and privacy of job applicants very seriously. We will never ask for payment, bank details, or personal financial information as part of the application process. All our legitimate job postings can be found on our official career site. Please be cautious of job offers that come from non-company email addresses, instant messaging platforms, or unsolicited calls.
To ensure your application is legitimate, please apply directly through our official careers page: https://roofr.com/careers.
If you receive any suspicious messages or have questions, reach out to us at talent@roofr.com.
Your safety and security are important to us — thank you for your vigilance!
Roofr is proud to be an equal opportunity employer. We are committed to equal employment opportunity in the workplace regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or veteran status.
Ready to apply?
Apply to Roofr
Lead/Staff Machine Learning Engineer
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About us
Nu was born in 2013 with the mission to fight complexity to empower people in their daily lives by reinventing financial services. We are one of the world’s largest digital banking platforms, serving millions of customers across Brazil, Mexico, and Colombia. For more information, visit our institutional page https://international.nubank.com.br/careers/
ML Engineering at Nubank
Data Science is essential to every part of the business at Nubank, since Day 1. Most areas of the company use data science to some extent. ML Engineers are key to connecting ML models and ML-enabled systems to the rest of our infrastructure, while making sure that they work properly, delivering value to our customers.
As a Machine Learning Engineer, you’re expected to
- Interact with other team members to understand how to best apply data science and artificial intelligence to Nubank’s problems;
- Help monitor and maintain models and ML systems, making sure they are working well as measured by performance, operational and business metrics;
- Help deploy ML models both in batch and real-time scenarios. This may include building pipelines, constructing features and integrating models to other systems;
- Help build and maintain tooling and platforms to scale operations across multiple teams;
- Be familiar with modeling and statistics concepts;
Our ideal candidate
- Has extensive programming experience and is familiar with modern development techniques;
- Has experience creating, deploying and maintaining ML models and ML-enabled systems using modern frameworks;
- Understands the most common failure modes in ML-enabled systems and knows how to avoid and/or mitigate those;
- Is familiar with all stages of the ML model lifecycle, from inception to deployment and steady-state operation;
- Is familiar with cloud-based services from vendors such as AWS, GCP and Azure.
- Is familiar with software engineering and architecture principles and how they enable sustainable and maintainable systems;
- Is familiar with data engineering routines, pipelines and job scheduling frameworks;
- Is able to navigate complex mathematical and analytical environments when needed;
Our Benefits
- Chance of earning equity at Nubank
- Food/ Meal Card (Vale-Refeição and/or Vale Alimentação)
- Public Transportation Commuting Benefit (Vale-Transporte)
- NuCare – Psychological, Financial and Legal Assistance Program
- Life Insurance
- Medical Plan
- Dental Plan
- NuLanguage – Language Course Program
- Nucleo - Our learning platform of courses
- Extended Parental Leave
- Daycare Allowance
- Parental Consultancy
- Work-from-home Allowance
- Gym Partnerships
- 30 days of paid vacation
Work Model for this Role
Hybrid 2-3 times/week: Our hybrid work model brings us to the office at least twice a week, on strategic days designed to maximize team connection and collaboration. For more details, visit https://building.nubank.com/nu-hybrid-work-model/
Ready to apply?
Apply to Nubank
About Us
Nu is one of the largest digital financial platforms in the world, with more than 127 million customers across Brazil, Mexico, and Colombia. Guided by our mission to fight complexity and empower people, we are redefining financial services in Latin America and this is still just the beginning of the purple future we're building.
About the Role
AI Platform Team - The mission of the AI Platform team is bold: to democratize AI by empowering every Nubanker—not just Data Scientists—with safe, scalable, and accurate Machine Learning capabilities.
We are looking for a Manager who is passionate about creating solutions that push the boundaries of our current stack. You will help us move beyond basic DS work to abstract the complexities of the entire ML lifecycle—from training and deployment to serving and governance.
Why is this role open?
We are scaling. Currently, our structure has grown significantly, and to ensure the organization's health and the growth of our engineers, we are opening this position to lead a dedicated squad. You will take ownership of a team that manages the base infrastructure for the entire Data Science function at Nubank.
You'll be responsible for:
As the ML Manager for the AI Platform, you will combine technical leadership with people management. You will lead a squad of 11 Machine Learning Engineers (varying from Senior to Intern levels) and work closely with a Staff ML Engineer and a Product Manager.
- People Management: Foster a culture of feedback and growth. You will guide the development of your direct reports, conducting performance reviews and helping them navigate their careers.
- Strategic Roadmap: Translate high-level business goals into actionable technical roadmaps. You will discuss needs with stakeholders and define the "how" and "when."
- Architecture & Innovation: Explore architecture gaps and opportunities. You won't just maintain; you will challenge the team to explore complex features like scalable parallel processing and better UX for Data Scientists.
- Execution: Conduct initiatives with autonomy and diligence, ensuring we deliver value while maintaining high engineering standards.
Nubank already has well-established tools for basic Data Science work. Your challenge is to take us to the next level. You will push the frontiers of technology to handle massive scale, integrate with multiple complex systems, and democratize access to AI tools across the company.
What we are looking for
You don't need to be a hands-on coder 100% of the time, but you must have the technical depth to challenge the team and understand the ecosystem.
- Experience in Leadership: You have experience managing high-performing engineering teams, sharing feedback, and hiring/developing talent.
- Domain Expertise: Solid background in ML Engineering, AI, or Data Science, specifically with a focus on MLOps, Infrastructure, and Platform building.
- Tech Stack Familiarity: You are comfortable discussing and architecting systems involving Kubeflow, SageMaker, and Databricks.
- The "Builder" Mindset: You enjoy building software. You want autonomy to make decisions and explore edge technologies, similar to the engineering culture found in Big Tech
Our Benefits
- Chance of earning equity at Nubank
- Food/ Meal Card (Vale-Refeição and/or Vale Alimentação)
- Public Transportation Commuting Benefit (Vale-Transporte)
- NuCare – Psychological, Financial and Legal Assistance Program
- Life Insurance
- Medical Plan
- Dental Plan
- NuLanguage – Language Course Program
- Nucleo - Our learning platform of courses
- Extended Parental Leave
- Daycare Allowance
- Parental Consultancy
- Work-from-home Allowance
- Gym Partnerships
- 30 days of paid vacation
- Relocation Assistance Package, if applicable
Work Model for this Role
Hybrid 2-3 times/week: Our hybrid work model brings us to the office at least twice a week, on strategic days designed to maximize team connection and collaboration. For more details, visit https://building.nubank.com/nu-hybrid-work-model/
Ready to apply?
Apply to Nubank
Senior Software Engineer, Java
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About Telnyx
Telnyx is an industry leader that's not just imagining the future of global connectivity—we're building it. From architecting and amplifying the reach of a private, global, multi-cloud IP network, to bringing hyperlocal edge technology right to your fingertips through intuitive APIs, we're shaping a new era of seamless interconnection between people, devices, and applications.
We're driven by a desire to transform and modernize what's antiquated, automate the manual, and solve real-world problems through innovative connectivity solutions. As a testament to our success, we're proud to stand as a financially stable and profitable company. Our robust profitability allows us not only to invest in pioneering technologies but also to foster an environment of continuous learning and growth for our team.
Our collective vision is a world where borderless connectivity fuels limitless innovation. By joining us, you can be part of laying the foundations for this interconnected future. We're currently seeking passionate individuals who are excited about the opportunity to contribute to an industry-shaping company while growing their own skills and careers.
Our backend team is building a highly-available and distributed data pipeline that powers Telnyx products like Voice, Messaging and Wireless. We leverage the Telnyx private backbone network to build a cloud-agnostic data platform that processes thousands of messages per second.
With our lean team, we're currently running and managing more than 30 dockerized microservices deployed in multiple regions in the U.S. and Europe. We are looking for a senior Java backend engineer with deep knowledge of Java Core.
In this role you will
- Work on 30+ microservices implemented in Java 11 and Scala that process, aggregate and expose all data our telecommunication and messaging engines generate
- Improve performance of our pipeline — we currently process 10k messages/sec and are growing
- Architect our services and pipelines so they work with minimum latency in all our locations around the world (U.S., E.U., Australia, South America)
- Implement fraud detection processes with machine learning (Kafka and Kafka Streams)
- Deploy services to multi-cloud Kubernetes environments to achieve 99.999% uptime
- Push code to production multiple times a day
What we're looking for
- Degree in Computer Science, Information Technology, or equivalent work experience
- 4+ years of experience with Java and its ecosystem of tooling
- Experience with at least one of these databases: Cassandra, ClickHouse, or OpenSearch
- Experience with AI tooling, or a strong willingness to learn
Nice to have
- Experience with Scala or another functional programming language
- Experience with Linux, Git, and Docker in a CI environment
- Experience with distributed systems and systems that maintain "five nines" (99.999%) of uptime
LI-KG1
LI-DUBLIN
LI-BRAZIL
Ready to apply?
Apply to Telnyx
Scale Solutions Engineer
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The impact you will have:
- You will ensure new customers have an excellent experience by providing technical assistance early in their journey
- You will become an expert on the Databricks Platform and guide customers in making the best technical decisions
- You will work directly with multiple customers concurrently to provide technical solutions.
- Undergraduate degree or higher in Computer Science, Information Systems, or relevant experience
- 3+ years experience in a customer-facing technical role in pre-sales, professional services, consulting or customer success.
- Experience in one or more of the following:
- Solid understanding of the end to end data analytics workflow
- Excellent time management and prioritization skills
- Knowledge of public cloud platforms AWS, Azure or GCP would be a plus
- Knowledge of a programming language - Python, Scala, or SQL
- Knowledge of end-to-end data analytics workflow
- Hands-on professional or academic experience in one or more of the following:
- Data Engineering technologies (e.g., ETL, DBT, Spark, Airflow)
- Data Warehousing technologies (e.g., SQL, Stored Procedures, Redshift, Snowflake)
- Excellent time management and prioritization skills
- Excellent written and verbal communication, in English and Portuguese
- Bonus
- Knowledge of Data Science and Machine Learning (e.g., build and deploy ML Models).
- Databricks certification(s)
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Ready to apply?
Apply to Databricks
Sr Data & AI Technical Solutions Engineer
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P-993
Mission
As a Data & AI Technical Solutions Engineer, you play a critical role by helping customers debug and maintain stable production data pipelines, AI workflows, and more using the Databricks platform. You will develop product expertise in a couple of areas by advising a broad set of customers and use cases across those technologies. You will collaborate with other teams at Databricks to deliver an excellent customer experience - whether that’s product engineering teams or technical account team members. TSE’s have proven production troubleshooting and optimization experience to help our customers’ workloads run smoothly and to achieve their strategic objectives using the Databricks’ platform. Reporting to a TSE manager - you will be part of a world class global support engineering organization for Databricks, known for your technical depth and delivering impeccable customer service.
The impact you will have:
- Be the first point of contact for customer production issues - provide initial analysis, troubleshooting, and resolution for data engineering and AI workloads.
- Deep Dive into code-level analysis of customer workloads to address issues related to Databricks products - including Spark core internals, Spark SQL, Delta, DLT, and Model Serving.
- Provide excellent customer support - be knowledgeable and empathetic in customer communications over email and video, act with a sense of urgency to find mitigations and solutions, diffuse escalations during incidents and be proactive at helping prevent future customer problems.
- Help make the Databricks products simpler to use and customer production environments more stable - such as through coordinating with Engineering and Backline Support teams to identify areas for product improvements.
- Develop expertise in productionizing systems in Databricks and share your knowledge by contributing to wikis and other technical documentation to be used internally or externally by customers and partners.
What we look for:
- Minimum of 6 years of experience in designing, building, testing, and maintaining Python/Java/Scala based applications in typical project delivery and consulting environments.
- Experience with SQL databases or data warehouses (such as Oracle, Teradata, SQL Server, MySQL) and ETL technologies (such as Informatica, DataStage, Talend, Fivetran).
- 3 years of hands-on experience in developing two or more Big Data technologies such as Spark & Hadoop, Lakehouse architecture - such as Delta, Data Ingestion, Data Streaming applications, or ML/AI applications for industry use cases.
- Hands-on experience in performance tuning and troubleshooting of Data and AI applications at production scale - including query optimization, memory management, garbage collection, and heap/thread dump analysis.
- Prior Support or customer facing experience is not required for this role, but the ability and desire to develop excellent customer service skills is.
- Preferrable: Hands-on experience with public cloud (AWS or Azure or GCP).
- Technical degree or the equivalent experience.
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Ready to apply?
Apply to Databricks
A Capco é uma consultoria global de tecnologia e negócios, focada no setor de serviços financeiros e energia, somos apaixonados por ajudar nossos clientes, temos 40 escritórios nas Américas, Europa e Ásia-Pacífico! Se criatividade e inovação são sua paixão, a Capco é ideal para você. Vamos te apoiar e ajudar a acelerar sua carreira!
Estamos em busca de um(a) Machine Learning Engineer com foco em NLP e processamento de documentos para atuar no desenvolvimento de soluções inteligentes voltadas à automação e análise de dados, especialmente em contextos financeiros. O(a) profissional será responsável por construir pipelines de dados, desenvolver modelos de machine learning e implementar soluções escaláveis em ambiente cloud.
O que você fará:
- Desenvolver soluções de machine learning e NLP para extração e processamento de informações de documentos
- Trabalhar com OCR, parsing de PDFs e extração de dados de Excel
- Implementar algoritmos de fuzzy matching (ex: Levenshtein, record linkage)
- Construir e manter pipelines de dados e processos de ETL
- Desenvolver, treinar e validar modelos de machine learning (supervisionados e não supervisionados)
- Realizar deploy de modelos utilizando APIs REST, Docker e serviços Azure
- Integrar soluções com sistemas externos e aplicações corporativas
- Colaborar com times multidisciplinares para entrega de soluções escaláveis
O que você precisa ter:
- Forte experiência em Python (Pandas, NumPy, scikit-learn)
- Experiência com bibliotecas de NLP (spaCy, NLTK ou Transformers)
- Conhecimento em processamento de documentos (OCR, PDFs, Excel)
- Experiência com deploy de modelos (APIs REST, Docker, Azure ML)
- Entendimento de técnicas de machine learning supervisionado e não supervisionado
- Experiência com pipelines de dados e ETL
- 2 a 5 anos de experiência em Machine Learning, com foco em NLP ou dados financeiros
- Inglês avançado/fluente
Diferenciais
- Experiência no setor financeiro/fintech (reconciliação, contabilidade)
- Conhecimento em Azure Machine Learning e Cognitive Services
- Experiência com frameworks de deep learning (TensorFlow, PyTorch)
- Experiência com LLMs para entendimento de documentos (OpenAI, Azure OpenAI)
POR QUE CAPCO:
Na Capco promovemos uma cultura inclusiva. Valorizamos a diversidade em todas as suas expressões.
Pensamos, em conjunto, sempre em ações diversas de inclusão e de responsabilidade social através de comitês internos geridos pela nossa comunidade interna, como os grupo de Mulheres, Pessoas Com Deficiência, Pessoas Negras, LGBTQIAPN+, Parentalidade, Gerações, entre outros. Nossas oportunidades são trabalhadas para todos(as)!
#LifeAtCapco
PRÓXIMOS PASSOS:
- Se você está ansioso(a) para progredir sua carreira conosco, candidate-se e aguarde o contato de um de nossos recrutadores!
Ready to apply?
Apply to Capco
Senior Security Engineer (GRC)
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About us
Nubank was founded in 2013 with the mission of fighting complexity to empower people in their daily lives by reinventing financial services. Today, we are one of the largest digital banking platforms in the world, serving millions of customers across Brazil, Mexico, and Colombia. For more information, visit our careers page: https://international.nubank.com.br/careers/
About the team
The Governance, Risk and Compliance (GRC) team enables Nubank to remain compliant with legal, regulatory, and internal requirements, while continuously identifying, classifying, and monitoring risks and providing strategic insights and performance evaluation to leadership.
The GRC squad collaborates with multidisciplinary teams to align our technology security strategy with Nubank’s overall business objectives, ensuring that identified risks are mitigated and that risk-based decision-making is enabled within and beyond the IT & Security Business Unit.
About the role
You will be responsible for acting as a technical reference in security, certifications, and internal controls, serving as a bridge between engineering, risk, audit, and business stakeholders.
You will define strategies, support risk-based decision-making, and ensure that security and compliance requirements are effectively embedded into processes, systems, and products.
Key responsibilities
- Act as a senior technical and governance reference across security, certifications, risk, and internal controls, influencing strategy.
- Identify control gaps and improvement opportunities in technical procedures required for certification and recertification processes (e.g., ISO 27001, PCI-DSS).
- Develop and maintain strong partnerships with business and technical leaders to orchestrate audits, assessments, and remediation plans in a risk-based and scalable way.
- Collaborate with technical teams to define action plans that ensure adherence to regulatory requirements and internal policies.
- Conduct assessments of internal controls, ensuring adherence to internal policies, legal requirements, and industry standards.
- Identify gaps and improvement opportunities in the internal controls landscape and lead control reviews, ensuring timely resolution of issues.
- Work closely with Risk teams to align on the mitigation of identified risks.
- Support responses to audit requests, regulatory inquiries, and due diligence from business partners.
- Partner with Engineering, Product, IT, and global teams to integrate compliance and security requirements into processes and systems.
- Define and monitor KRIs and KPIs, delivering forward-looking, data-driven insights to senior management and Committees.
- Drive continuous improvement and scale, simplifying processes and strengthening Nubank’s Security Maturity as the company grows globally.
Qualification Requirements
- Solid experience in information security, with strong knowledge of frameworks such as PCI-DSS, ISO 27000 family, NIST, and similar.
- Prior experience with security certification processes and/or internal controls, compliance, and audit support.
- Excellent executive communication skills, capable of translating complex topics into clear, actionable insights for senior leadership and committees.
- Experience operating in regulated and global environments, including interaction with auditors and regulators.
- Bachelor’s degree in Engineering, Technology, Security Information, Risk Management or related fields.
- Familiarity with using AI and automation (e.g., machine learning, generative AI, or LLM-based tooling) to enhance security compliance use cases.
- Knowledge of the regulatory landscape relevant to financial services, such as SOx, BACEN, CVM, CNBV, ANBIMA, SEC, and related regulations.
- Hands-on experience with cloud environments (e.g., AWS, GCP) and implementing security controls in these contexts.
- Advanced English (written and verbal) required.
Nice to have Requirements
- Relevant certifications such as CRISC, CISA, Security+, CISSP, or CISM are considered a strong plus.
International experience is highly desirable.
Our Benefits
- Chance of earning equity at Nubank
- Food/ Meal Card (Vale-Refeição and/or Vale Alimentação)
- Public Transportation Commuting Benefit (Vale-Transporte)
- NuCare – Psychological, Financial and Legal Assistance Program
- Life Insurance
- Medical Plan
- Dental Plan
- NuLanguage – Language Course Program
- Nucleo - Our learning platform of courses
- Extended Parental Leave
- Daycare Allowance
- Parental Consultancy
- Work-from-home Allowance
- Gym Partnerships
- 30 days of paid vacation
- Relocation Assistance Package, if applicable
Work Model for this Role
Hybrid 2-3 times/week: Our hybrid work model brings us to the office at least twice a week, on strategic days designed to maximize team connection and collaboration. For more details, visit https://building.nubank.com/nu-hybrid-work-model/
Ready to apply?
Apply to Nubank
Lead Security Engineer (GRC)
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About us
Nubank was founded in 2013 with the mission of fighting complexity to empower people in their daily lives by reinventing financial services. Today, we are one of the largest digital banking platforms in the world, serving millions of customers across Brazil, Mexico, and Colombia. For more information, visit our careers page: https://international.nubank.com.br/careers/
About the team
The Governance, Risk and Compliance (GRC) team enables Nubank to remain compliant with legal, regulatory, and internal requirements, while continuously identifying, classifying, and monitoring risks and providing strategic insights and performance evaluation to leadership.
The GRC squad collaborates with multidisciplinary teams to align our technology security strategy with Nubank’s overall business objectives, ensuring that identified risks are mitigated and that risk-based decision-making is enabled within and beyond the IT & Security Business Unit.
About the role
You will be responsible for acting as a technical reference in security, certifications, and internal controls, serving as a bridge between engineering, risk, audit, and business stakeholders.
You will define strategies, support risk-based decision-making, and ensure that security and compliance requirements are effectively embedded into processes, systems, and products.
Key responsibilities
- Act as a senior technical and governance reference across security, certifications, risk, and internal controls, influencing strategy.
- Identify control gaps and improvement opportunities in technical procedures required for certification and recertification processes (e.g., ISO 27001, PCI-DSS).
- Develop and maintain strong partnerships with business and technical leaders to orchestrate audits, assessments, and remediation plans in a risk-based and scalable way.
- Collaborate with technical teams to define action plans that ensure adherence to regulatory requirements and internal policies.
- Conduct assessments of internal controls, ensuring adherence to internal policies, legal requirements, and industry standards.
- Identify gaps and improvement opportunities in the internal controls landscape and lead control reviews, ensuring timely resolution of issues.
- Work closely with Risk teams to align on the mitigation of identified risks.
- Support responses to audit requests, regulatory inquiries, and due diligence from business partners.
- Partner with Engineering, Product, IT, and global teams to integrate compliance and security requirements into processes and systems.
- Define and monitor KRIs and KPIs, delivering forward-looking, data-driven insights to senior management and Committees.
- Drive continuous improvement and scale, simplifying processes and strengthening Nubank’s Security Maturity as the company grows globally.
Qualification Requirements
- Solid experience in information security, with strong knowledge of frameworks such as PCI-DSS, ISO 27000 family, NIST, and similar.
- Prior experience with security certification processes and/or internal controls, compliance, and audit support.
- Excellent executive communication skills, capable of translating complex topics into clear, actionable insights for senior leadership and committees.
- Experience operating in regulated and global environments, including interaction with auditors and regulators.
- Bachelor’s degree in Engineering, Technology, Security Information, Risk Management or related fields.
- Familiarity with using AI and automation (e.g., machine learning, generative AI, or LLM-based tooling) to enhance security compliance use cases.
- Knowledge of the regulatory landscape relevant to financial services, such as SOx, BACEN, CVM, CNBV, ANBIMA, SEC, and related regulations.
- Hands-on experience with cloud environments (e.g., AWS, GCP) and implementing security controls in these contexts.
- Advanced English (written and verbal) required.
Nice to have Requirements
- Relevant certifications such as CRISC, CISA, Security+, CISSP, or CISM are considered a strong plus.
International experience is highly desirable.
Our Benefits
- Chance of earning equity at Nubank
- Food/ Meal Card (Vale-Refeição and/or Vale Alimentação)
- Public Transportation Commuting Benefit (Vale-Transporte)
- NuCare – Psychological, Financial and Legal Assistance Program
- Life Insurance
- Medical Plan
- Dental Plan
- NuLanguage – Language Course Program
- Nucleo - Our learning platform of courses
- Extended Parental Leave
- Daycare Allowance
- Parental Consultancy
- Work-from-home Allowance
- Gym Partnerships
- 30 days of paid vacation
- Relocation Assistance Package, if applicable
Work Model for this Role
Hybrid 2-3 times/week: Our hybrid work model brings us to the office at least twice a week, on strategic days designed to maximize team connection and collaboration. For more details, visit https://building.nubank.com/nu-hybrid-work-model/
Ready to apply?
Apply to Nubank
Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry’s digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity.
Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry’s digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity.
Xometry is looking for a Machine Learning Engineer II who is excited about advancing machine learning capabilities and bringing models into production at scale. In this role, you’ll design, deploy, and maintain robust statistical and machine learning models, working closely with data scientists to translate research and experimentation into reliable, high-impact systems. You’ll apply strong data intuition and engineering judgment to improve model performance, reliability, and observability, while building predictive models that support pricing, cost estimation, and sourcing recommendations.
What You'll Do:
- Design, build, and optimize machine learning models to enhance Xometry’s platform and business operations.
- Analyze large datasets to extract meaningful patterns and insights.
- Collaborate with cross-functional teams to integrate machine learning models into production systems.
- Learn and apply best practices in model evaluation, performance tuning, and deployment.
- Influence technical direction by identifying opportunities to improve modeling approaches, data quality, and system architecture.
- Work across teams to ensure machine learning solutions are explainable, maintainable, and aligned with business goals.
- Help bridge the gap between research and production, ensuring models perform just as well in the real world as they do in notebooks.
- Gain exposure to cutting-edge machine learning frameworks, tools, and techniques used in the manufacturing industry.
Qualifications:
- A bachelor’s degree is required, but an advanced degree (M.S. or PhD) in computer science, machine learning, AI, or a related field is highly preferred.
- Experience deploying and maintaining machine learning models in production environments.
- 4+ years of experience in machine learning, focusing on data engineering and/or data science.
- Proficient in Python, including key libraries such as PyTorch, TensorFlow, pandas, and numpy.
- Strong background in probability, statistics, and optimization techniques relevant to generative modeling.
- Familiarity with cloud computing resources and tools for model training and deployment (e.g., AWS SageMaker).
- Familiar with software engineering principles, including version control, reproducibility, and continuous integration.
- Experience in the manufacturing, supply chain, or similar industries is a plus.
#LI-Remote
Xometry is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status.
For US based roles: Xometry participates in E-Verify and after a job offer is accepted, will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.
Xometry is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status.
For US based roles: Xometry participates in E-Verify and after a job offer is accepted, will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.
Ready to apply?
Apply to Xometry
Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry’s digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity.
Xometry is seeking a Senior Machine Learning Engineer to join our growing organization. The right person will help move our machine learning capabilities to the next level. You’ll be working in an organization where AI is the enabler and center of its core business strategy. You want to be part of a small, intensely skilled team, who feel total ownership of their work, and can’t imagine a day without learning & coding. You will play a crucial role in the Xometry platform and everything you do will matter.
Responsibilities:
- At Xometry, you will play a crucial role in exploring new machine learning opportunities, researching and performing proof of concepts, and bringing new machine learning and AI solutions into Xometry’s platform
- Develop and implement machine learning models that improve Xometry’s ability to predict cost, price, and sourcing options for our customers and suppliers.
- You will be responsible for leading the evaluation of emerging technologies, identifying areas for improvement, and developing new features while ensuring the reliability and scalability of Xometry’s platform
- Lead the exploration of emerging AI and machine learning technologies and develop proof-of-concepts to assess their potential impact on Xometry’s platform
- Collaborate with cross-functional teams to gather requirements, prioritize features, and define technical solutions based on the latest innovations
- Monitor machine learning models and AI performance and troubleshoot issues as they arise
- Contribute to the documentation and knowledge base to help other teams understand and use Xometry’s AI effectively
Qualifications:
- Experience with state of the art ML modeling techniques and approaches like transformers, self supervised pre-training, generative modeling, LLMs, etc
- Experience with large scale data processing (e.g., Hands-on experience training and applying models at scale using deep learning frameworks like PyTorch or Tensorflow)
- Successful candidates in this role need to be able to bridge state of the art approaches to real world impact
- A cloud-native software craftsperson with hands on experience with containers, container orchestration, and distributed systems
- An engineer with a self-driven attitude who can own problems and deliver solutions
- Strong software fundamentals with experience in design patterns, refactoring, OOP, and testing
- A cloud practitioner who values the “shift-left” mentality by building systems with Infrastructure as Code, not console clicking
- Data’s at the heart of our systems, we hope it's yours too. You’re comfortable working with SQL and/or NoSQL, understand database design, and data analysis
- Experience building and consuming CI/CD pipelines
- Someone who knows their way around the command line and has experience working with *nix systems
- 5+ years working experience in the engineering teams that build large-scale ML-driven user-facing products
- 3+ years experience leading cross-team engineering efforts
- Strong execution skills in project management
#LI-Remote
Xometry is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status.
For US based roles: Xometry participates in E-Verify and after a job offer is accepted, will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.
Ready to apply?
Apply to Xometry
Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry’s digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity.
Xometry is seeking a Senior Machine Learning Engineer to join our growing organization. The right person will help move our machine learning capabilities to the next level. You’ll be working in an organization where AI is the enabler and center of its core business strategy. You want to be part of a small, intensely skilled team, who feel total ownership of their work, and can’t imagine a day without learning & coding. You will play a crucial role in the Xometry platform and everything you do will matter.
Responsibilities:
- At Xometry, you will play a crucial role in exploring new machine learning opportunities, researching and performing proof of concepts, and bringing new machine learning and AI solutions into Xometry’s platform
- Develop and implement machine learning models that improve Xometry’s ability to predict cost, price, and sourcing options for our customers and suppliers.
- You will be responsible for leading the evaluation of emerging technologies, identifying areas for improvement, and developing new features while ensuring the reliability and scalability of Xometry’s platform
- Lead the exploration of emerging AI and machine learning technologies and develop proof-of-concepts to assess their potential impact on Xometry’s platform
- Collaborate with cross-functional teams to gather requirements, prioritize features, and define technical solutions based on the latest innovations
- Monitor machine learning models and AI performance and troubleshoot issues as they arise
- Contribute to the documentation and knowledge base to help other teams understand and use Xometry’s AI effectively
Qualifications:
- Experience with state of the art ML modeling techniques and approaches like transformers, self supervised pre-training, generative modeling, LLMs, etc
- Experience with large scale data processing (e.g., Hands-on experience training and applying models at scale using deep learning frameworks like PyTorch or Tensorflow)
- Successful candidates in this role need to be able to bridge state of the art approaches to real world impact
- A cloud-native software craftsperson with hands on experience with containers, container orchestration, and distributed systems
- An engineer with a self-driven attitude who can own problems and deliver solutions
- Strong software fundamentals with experience in design patterns, refactoring, OOP, and testing
- A cloud practitioner who values the “shift-left” mentality by building systems with Infrastructure as Code, not console clicking
- Data’s at the heart of our systems, we hope it's yours too. You’re comfortable working with SQL and/or NoSQL, understand database design, and data analysis
- Experience building and consuming CI/CD pipelines
- Someone who knows their way around the command line and has experience working with *nix systems
- 5+ years working experience in the engineering teams that build large-scale ML-driven user-facing products
- 3+ years experience leading cross-team engineering efforts
- Strong execution skills in project management
#LI-Remote
Xometry is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status.
For US based roles: Xometry participates in E-Verify and after a job offer is accepted, will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.
Ready to apply?
Apply to Xometry
At Braze, we have found our people. We’re a genuinely approachable, exceptionally kind, and intensely passionate crew.
We seek to ignite that passion by setting high standards, championing teamwork, and creating work-life harmony as we collectively navigate rapid growth on a global scale while striving for greater equity and opportunity – inside and outside our organization.
To flourish here, you must be prepared to set a high bar for yourself and those around you. There is always a way to contribute: Acting with autonomy, having accountability and being open to new perspectives are essential to our continued success.
Our deep curiosity to learn and our eagerness to share diverse passions with others gives us balance and injects a one-of-a-kind vibrancy into our culture.
If you are driven to solve exhilarating challenges and have a bias toward action in the face of change, you will be empowered to make a real impact here, with a sharp and passionate team at your back. If Braze sounds like a place where you can thrive, we can’t wait to meet you.
WHAT YOU'LL DO
As our customer base continues to grow with the excitement around BrazeAI, we’re expanding our team! Join our Forward-Deployed Data Scientist group of creative technical experts who partner with customers to ensure their success. In this role, you will:
- Collaborate with customer Analytics/BI teams and Braze colleagues on implementations, including use case definition, data integration, pipeline setup, and ML model configuration
- Extend product capabilities by improving architecture and developing reusable data pipelines, APIs, and components
- Work closely with the RL pipeline development team to refine and advance our reinforcement learning (self-learning) algorithms
- Contribute to shaping BrazeAI product strategy and roadmap through customer-facing insights and technical expertise
- Provide ongoing technical expertise to ensure successful adoption, measurable outcomes, and long-term customer success
WHO YOU ARE
- Education: Bachelor’s degree in Computer Science, Data Science, Mathematics, Engineering, or a related field required; Master’s or PhD in a relevant technical discipline preferred
- Experience: 3–5+ years of hands-on experience as a Data Scientist, Machine Learning Engineer, or similar role working with large-scale data and production environments. Experience in customer-facing or consulting roles is strongly preferred
- Strong technical expertise: proficient in Python (Pandas) and core ML libraries (TensorFlow, Keras, scikit-learn, CatBoost, XGBoost). Skilled in SQL for querying/manipulating datasets, with experience in machine learning pipelines and model deployment
- Engineering best practices: you write well-structured, modular, documented code; follow strong development practices (Git, CI/CD, testing frameworks, type-hinting, code reviews); and can build scalable, maintainable solutions
- Nice-to-have skills: experience with DevOps tools (Airflow, Kubernetes, Terraform, GCP), data integration/ETL, and pipeline optimization, or reinforcement learning algorithms
- Customer collaborator: comfortable working directly with clients and cross-functional teams, aligning stakeholders, and translating technical concepts into clear business value
- Entrepreneurial problem-solver: you identify opportunities and risks early, troubleshoot obstacles, and drive creative solutions
- Continuous learner: you stay current with industry trends, explore new tools/technologies, and thrive in environments that push you to grow
- Clear communicator: able to explain complex technical ideas persuasively to both technical and non-technical audiences
WHAT WE OFFER
Braze benefits vary by location, and we encourage you to review our specific benefits offerings for each country here. More details on benefits plans will be provided if you receive an offer of employment.
From offering comprehensive benefits to fostering hybrid ways of working, we’ve got you covered so you can prioritize work-life harmony. Braze offers benefits such as:
- Competitive compensation that may include equity
- Retirement and Employee Stock Purchase Plans
- Flexible paid time off
- Comprehensive benefit plans covering medical, dental, vision, life, and disability
- Family services that include fertility benefits and equal paid parental leave
- Professional development supported by formal career pathing, learning platforms, and a yearly learning stipend
- A curated in-office employee experience, designed to foster community, team connections, and innovation
- Opportunities to give back to your community, including an annual company-wide Volunteer Week and donation matching
- Employee Resource Groups that provide supportive communities within Braze
- Collaborative, transparent, and fun culture recognized as a Great Place to Work®
ABOUT BRAZE
Braze is the leading customer engagement platform that empowers brands to Be Absolutely Engaging.™ Braze helps brands deliver great customer experiences that drive value both for consumers and for their businesses. Built on a foundation of composable intelligence, BrazeAI™ allows marketers to combine and activate AI agents, models, and features at every touchpoint throughout the Braze Customer Engagement Platform for smarter, faster, and more meaningful customer engagement. From cross-channel messaging and journey orchestration to Al-powered decisioning and optimization, Braze enables companies to turn action into interaction through autonomous, 1:1 personalized experiences.
The company has repeatedly been recognized as a Leader in marketing technology by industry analysts, and was voted a G2 “Best of Marketing and Digital Advertising Software Product” in 2025.
Braze was also named a 2025 Best Companies To Work For by U.S. News & World Report, a 2025 America’s Greatest Companies by Newsweek, and a 2025 Fortune Best Workplace in Technology™ by Great Place To Work®, among other accolades. Braze is also proudly certified as a Great Place to Work® in the U.S., the UK, Australia, and Singapore.
The company is headquartered in New York with offices in Austin, Berlin, Bucharest, Chicago, Dubai, Jakarta, London, Paris, San Francisco, São Paulo, Singapore, Seoul, Sydney and Tokyo.
At Braze, we strive to create equitable growth and opportunities inside and outside the organization.
Building meaningful connections is at the heart of everything we do, and that includes our recruiting practices. We're committed to offering all candidates a fair, accessible, and inclusive experience – regardless of age, color, disability, gender identity, marital status, maternity, national origin, pregnancy, race, religion, sex, sexual orientation, or status as a protected veteran. When applying and interviewing with Braze, we want you to feel comfortable showcasing what makes you you.
We know that sometimes different circumstances can lead talented people to hesitate to apply for a role unless they meet 100% of the criteria. If this sounds familiar, we encourage you to apply, as we’d love to meet you.
Please see our Candidate Privacy Policy for more information on how Braze processes your personal information during the recruitment process and, if applicable based on your location, how you can exercise any privacy rights.Ready to apply?
Apply to Braze
At Braze, we have found our people. We’re a genuinely approachable, exceptionally kind, and intensely passionate crew.
We seek to ignite that passion by setting high standards, championing teamwork, and creating work-life harmony as we collectively navigate rapid growth on a global scale while striving for greater equity and opportunity – inside and outside our organization.
To flourish here, you must be prepared to set a high bar for yourself and those around you. There is always a way to contribute: Acting with autonomy, having accountability and being open to new perspectives are essential to our continued success.
Our deep curiosity to learn and our eagerness to share diverse passions with others gives us balance and injects a one-of-a-kind vibrancy into our culture.
If you are driven to solve exhilarating challenges and have a bias toward action in the face of change, you will be empowered to make a real impact here, with a sharp and passionate team at your back. If Braze sounds like a place where you can thrive, we can’t wait to meet you.
WHAT YOU’LL DO
As our customer base continues to grow with the excitement around BrazeAI, we’re expanding our team! Join our Forward-Deployed Data Scientist group of creative technical experts who partner with customers to ensure their success. In this role, you will:
- Collaborate with customer Analytics/BI teams and Braze colleagues on implementations, including use case definition, data integration, pipeline setup, and ML model configuration
- Extend product capabilities by improving architecture and developing reusable data pipelines, APIs, and components
- Work closely with the RL pipeline development team to refine and advance our reinforcement learning (self-learning) algorithms
- Contribute to shaping BrazeAI's product strategy and roadmap through customer-facing insights and technical expertise
- Provide ongoing technical expertise to ensure successful adoption, measurable outcomes, and long-term customer success
WHO YOU ARE
- Education: Bachelor’s degree in Computer Science, Data Science, Mathematics, Engineering, or a related field required; Master’s or PhD in a relevant technical discipline preferred
- Experience: 3–5+ years of hands-on experience as a Data Scientist, Machine Learning Engineer, or similar role working with large-scale data and production environments. Experience in customer-facing or consulting roles is strongly preferred
- Strong technical expertise: Proficient in Python (Pandas) and core ML libraries (TensorFlow, Keras, scikit-learn, CatBoost, XGBoost). Skilled in SQL for querying/manipulating datasets, with experience in machine learning pipelines and model deployment
- Engineering best practices: You write well-structured, modular, documented code; follow strong development practices (Git, CI/CD, testing frameworks, type-hinting, code reviews); and can build scalable, maintainable solutions
- Nice-to-have skills: Experience with DevOps tools (Airflow, Kubernetes, Terraform, GCP), data integration/ETL and pipeline optimization, or reinforcement learning algorithms
- Customer collaborator: Comfortable working directly with clients and cross-functional teams, aligning stakeholders, and translating technical concepts into clear business value
- Entrepreneurial problem-solver: You identify opportunities and risks early, troubleshoot obstacles, and drive creative solutions
- Continuous learner: You stay current with industry trends, explore new tools/technologies, and thrive in environments that push you to grow
- Clear communicator: Able to explain complex technical ideas persuasively to both technical and non-technical audiences
WHAT WE OFFER
Braze benefits vary by location, and we encourage you to review our specific benefits offerings for each country here. More details on benefits plans will be provided if you receive an offer of employment.
From offering comprehensive benefits to fostering hybrid ways of working, we’ve got you covered so you can prioritize work-life harmony. Braze offers benefits such as:
- Competitive compensation that may include equity
- Retirement and Employee Stock Purchase Plans
- Flexible paid time off
- Comprehensive benefit plans covering medical, dental, vision, life, and disability
- Family services that include fertility benefits and equal paid parental leave
- Professional development supported by formal career pathing, learning platforms, and a yearly learning stipend
- A curated in-office employee experience, designed to foster community, team connections, and innovation
- Opportunities to give back to your community, including an annual company-wide Volunteer Week and donation matching
- Employee Resource Groups that provide supportive communities within Braze
- Collaborative, transparent, and fun culture recognized as a Great Place to Work®
ABOUT BRAZE
Braze is the leading customer engagement platform that empowers brands to Be Absolutely Engaging.™ Braze helps brands deliver great customer experiences that drive value both for consumers and for their businesses. Built on a foundation of composable intelligence, BrazeAI™ allows marketers to combine and activate AI agents, models, and features at every touchpoint throughout the Braze Customer Engagement Platform for smarter, faster, and more meaningful customer engagement. From cross-channel messaging and journey orchestration to Al-powered decisioning and optimization, Braze enables companies to turn action into interaction through autonomous, 1:1 personalized experiences.
The company has repeatedly been recognized as a Leader in marketing technology by industry analysts, and was voted a G2 “Best of Marketing and Digital Advertising Software Product” in 2025.
Braze was also named a 2025 Best Companies To Work For by U.S. News & World Report, a 2025 America’s Greatest Companies by Newsweek, and a 2025 Fortune Best Workplace in Technology™ by Great Place To Work®, among other accolades. Braze is also proudly certified as a Great Place to Work® in the U.S., the UK, Australia, and Singapore.
The company is headquartered in New York with offices in Austin, Berlin, Bucharest, Chicago, Dubai, Jakarta, London, Paris, San Francisco, São Paulo, Singapore, Seoul, Sydney and Tokyo.
At Braze, we strive to create equitable growth and opportunities inside and outside the organization.
Building meaningful connections is at the heart of everything we do, and that includes our recruiting practices. We're committed to offering all candidates a fair, accessible, and inclusive experience – regardless of age, color, disability, gender identity, marital status, maternity, national origin, pregnancy, race, religion, sex, sexual orientation, or status as a protected veteran. When applying and interviewing with Braze, we want you to feel comfortable showcasing what makes you you.
We know that sometimes different circumstances can lead talented people to hesitate to apply for a role unless they meet 100% of the criteria. If this sounds familiar, we encourage you to apply, as we’d love to meet you.
Please see our Candidate Privacy Policy for more information on how Braze processes your personal information during the recruitment process and, if applicable based on your location, how you can exercise any privacy rights.Ready to apply?
Apply to Braze
At Braze, we have found our people. We’re a genuinely approachable, exceptionally kind, and intensely passionate crew.
We seek to ignite that passion by setting high standards, championing teamwork, and creating work-life harmony as we collectively navigate rapid growth on a global scale while striving for greater equity and opportunity – inside and outside our organization.
To flourish here, you must be prepared to set a high bar for yourself and those around you. There is always a way to contribute: Acting with autonomy, having accountability and being open to new perspectives are essential to our continued success.
Our deep curiosity to learn and our eagerness to share diverse passions with others gives us balance and injects a one-of-a-kind vibrancy into our culture.
If you are driven to solve exhilarating challenges and have a bias toward action in the face of change, you will be empowered to make a real impact here, with a sharp and passionate team at your back. If Braze sounds like a place where you can thrive, we can’t wait to meet you.
WHAT YOU’LL DO
As our customer base continues to grow with the excitement around BrazeAI, we’re expanding our team! Join our Forward-Deployed Data Scientist group of creative technical experts who partner with customers to ensure their success. In this role, you will:
- Collaborate with customer Analytics/BI teams and Braze colleagues on implementations, including use case definition, data integration, pipeline setup, and ML model configuration
- Extend product capabilities by improving architecture and developing reusable data pipelines, APIs, and components
- Work closely with the RL pipeline development team to refine and advance our reinforcement learning (self-learning) algorithms
- Contribute to shaping BrazeAI's product strategy and roadmap through customer-facing insights and technical expertise
- Provide ongoing technical expertise to ensure successful adoption, measurable outcomes, and long-term customer success
WHO YOU ARE
- Education: Bachelor’s degree in Computer Science, Data Science, Mathematics, Engineering, or a related field required; Master’s or PhD in a relevant technical discipline preferred
- Experience: 3–5+ years of hands-on experience as a Data Scientist, Machine Learning Engineer, or similar role working with large-scale data and production environments. Experience in customer-facing or consulting roles is strongly preferred
- Strong technical expertise: Proficient in Python (Pandas) and core ML libraries (TensorFlow, Keras, scikit-learn, CatBoost, XGBoost). Skilled in SQL for querying/manipulating datasets, with experience in machine learning pipelines and model deployment
- Engineering best practices: You write well-structured, modular, documented code; follow strong development practices (Git, CI/CD, testing frameworks, type-hinting, code reviews); and can build scalable, maintainable solutions
- Nice-to-have skills: Experience with DevOps tools (Airflow, Kubernetes, Terraform, GCP), data integration/ETL and pipeline optimization, or reinforcement learning algorithms
- Customer collaborator: Comfortable working directly with clients and cross-functional teams, aligning stakeholders, and translating technical concepts into clear business value
- Entrepreneurial problem-solver: You identify opportunities and risks early, troubleshoot obstacles, and drive creative solutions
- Continuous learner: You stay current with industry trends, explore new tools/technologies, and thrive in environments that push you to grow
- Clear communicator: Able to explain complex technical ideas persuasively to both technical and non-technical audiences
WHAT WE OFFER
Braze benefits vary by location, and we encourage you to review our specific benefits offerings for each country here. More details on benefits plans will be provided if you receive an offer of employment.
From offering comprehensive benefits to fostering hybrid ways of working, we’ve got you covered so you can prioritize work-life harmony. Braze offers benefits such as:
- Competitive compensation that may include equity
- Retirement and Employee Stock Purchase Plans
- Flexible paid time off
- Comprehensive benefit plans covering medical, dental, vision, life, and disability
- Family services that include fertility benefits and equal paid parental leave
- Professional development supported by formal career pathing, learning platforms, and a yearly learning stipend
- A curated in-office employee experience, designed to foster community, team connections, and innovation
- Opportunities to give back to your community, including an annual company-wide Volunteer Week and donation matching
- Employee Resource Groups that provide supportive communities within Braze
- Collaborative, transparent, and fun culture recognized as a Great Place to Work®
ABOUT BRAZE
Braze is the leading customer engagement platform that empowers brands to Be Absolutely Engaging.™ Braze helps brands deliver great customer experiences that drive value both for consumers and for their businesses. Built on a foundation of composable intelligence, BrazeAI™ allows marketers to combine and activate AI agents, models, and features at every touchpoint throughout the Braze Customer Engagement Platform for smarter, faster, and more meaningful customer engagement. From cross-channel messaging and journey orchestration to Al-powered decisioning and optimization, Braze enables companies to turn action into interaction through autonomous, 1:1 personalized experiences.
The company has repeatedly been recognized as a Leader in marketing technology by industry analysts, and was voted a G2 “Best of Marketing and Digital Advertising Software Product” in 2025.
Braze was also named a 2025 Best Companies To Work For by U.S. News & World Report, a 2025 America’s Greatest Companies by Newsweek, and a 2025 Fortune Best Workplace in Technology™ by Great Place To Work®, among other accolades. Braze is also proudly certified as a Great Place to Work® in the U.S., the UK, Australia, and Singapore.
The company is headquartered in New York with offices in Austin, Berlin, Bucharest, Chicago, Dubai, Jakarta, London, Paris, San Francisco, São Paulo, Singapore, Seoul, Sydney and Tokyo.
At Braze, we strive to create equitable growth and opportunities inside and outside the organization.
Building meaningful connections is at the heart of everything we do, and that includes our recruiting practices. We're committed to offering all candidates a fair, accessible, and inclusive experience – regardless of age, color, disability, gender identity, marital status, maternity, national origin, pregnancy, race, religion, sex, sexual orientation, or status as a protected veteran. When applying and interviewing with Braze, we want you to feel comfortable showcasing what makes you you.
We know that sometimes different circumstances can lead talented people to hesitate to apply for a role unless they meet 100% of the criteria. If this sounds familiar, we encourage you to apply, as we’d love to meet you.
Please see our Candidate Privacy Policy for more information on how Braze processes your personal information during the recruitment process and, if applicable based on your location, how you can exercise any privacy rights.Ready to apply?
Apply to Braze
A Capco é uma consultoria global de tecnologia e negócios, focada no setor de serviços financeiros e energia, somos apaixonados por ajudar nossos clientes, temos 40 escritórios nas Américas, Europa e Ásia-Pacífico! Se criatividade e inovação são sua paixão, a Capco é ideal para você. Vamos te apoiar e ajudar a acelerar sua carreira!
Engenheiro de Inteligência Artificial
Responsabilidades:
- Projetar, desenvolver e aprimorar aplicações baseadas em foundation models (ex.: LLMs, modelos multimodais) para necessidades específicas de negócio;
- Implementar e experimentar técnicas de IA generativa, incluindo, mas não se limitando a, Retrieval-Augmented Generation (RAG) e prompt engineering;
- Liderar a implementação de agentes autônomos inteligentes e sistemas multiagente capazes de tomada de decisão complexa, execução de tarefas e interação com sistemas externos;
- Utilizar e contribuir para frameworks de IA agentic (ex.: LangChain, AutoGen, Semantic Kernel, Crew AI) para construir agentes robustos e escaláveis;
- Desenvolver e integrar soluções de Model Context Protocol (MCP) para padronizar como aplicações de IA acessam e utilizam fontes de dados externas, ferramentas e informações em tempo real;
- Liderar o desenvolvimento de aplicações full-stack que integrem modelos de IA generativa e sistemas agentic, garantindo experiências de usuário fluidas;
- Trabalhar com tecnologias de front-end (ex.: React, Angular, Vue.js, JavaScript, TypeScript, HTML, CSS) e back-end (ex.: Python com Flask/Django/FastAPI, Node.js, Go);
- Projetar e implementar APIs RESTful escaláveis e microsserviços para expor funcionalidades de IA;
- Implantar, gerenciar e otimizar cargas de trabalho de IA/ML e aplicações full-stack em pelo menos uma grande plataforma de nuvem (AWS, Azure ou GCP);
- Implementar práticas de LLMOps/MLOps e DevOps para integração contínua, entrega contínua (CI/CD), implantação de modelos, monitoramento e gestão de ciclo de vida;
- Manter-se atualizado sobre os avanços mais recentes em IA generativa, sistemas agentic, foundation models e áreas relacionadas por meio de pesquisa e experimentação contínuas;
- Colaborar de forma eficaz com equipes multifuncionais, incluindo gerentes de produto, cientistas de dados, pesquisadores e outros engenheiros;
- Orientar engenheiros juniores, compartilhar conhecimento e promover uma cultura de excelência técnica.
Requisitos:
- Bacharelado ou Mestrado em Ciência da Computação, Inteligência Artificial, Machine Learning ou área quantitativa relacionada;
- 5+ anos de experiência em desenvolvimento de software com forte foco em IA/ML;
- Experiência comprovada na construção e implantação de modelos de IA generativa (ex.: LLMs, modelos de difusão) em ambientes de produção;
- Expertise demonstrada em projetar e implementar sistemas de IA agentic e arquiteturas multiagente;
- Sólido entendimento e experiência prática com Model Context Protocol (MCP) para integração de sistemas de IA;
- Experiência consistente em desenvolvimento de aplicações full-stack;
- Ampla experiência com plataformas de nuvem (AWS, Azure ou GCP) para implantações de IA/ML e hospedagem de aplicações em geral;
- Experiência com ferramentas e práticas de LLMOps (ex.: Langfuse, Langsmith, etc.);
- Excelentes habilidades de resolução de problemas, análise e comunicação;
- Capacidade de trabalhar de forma independente e colaborativa em um ambiente ágil e dinâmico;
- Inglês avançado.
Diferenciais:
-
Experiência anterior com sistemas de conhecimento baseados em grafos.
-
Familiaridade com ferramentas e frameworks de GenAI (LangChain, LlamaIndex, OpenAI APIs).
-
Experiência em projetos do setor de seguros ou serviços financeiros.
POR QUE CAPCO:
Na Capco promovemos uma cultura inclusiva. Valorizamos a diversidade em todas as suas expressões.
Pensamos, em conjunto, sempre em ações diversas de inclusão e de responsabilidade social através de comitês internos geridos pela nossa comunidade interna, como os grupo de Mulheres, Pessoas Com Deficiência, Pessoas Negras, LGBTQIAPN+, Parentalidade, Gerações, entre outros.
Nossas oportunidades são trabalhadas para todos(as)!!!
#LifeAtCapco
PRÓXIMOS PASSOS:
- Se você está ansioso(a) para progredir sua carreira conosco, candidate-se e aguarde o contato de um de nossos recrutadores!
Ready to apply?
Apply to Capco
Lead Machine Learning Engineer / Applied AI Scientist
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About Us
Nu was born in 2013 with the mission to fight complexity to empower people in their daily lives by reinventing financial services. We are one of the world’s largest digital banking platforms, serving millions of customers across Brazil, Mexico, and Colombia.
About the role
At AI Core, we are scaling the impact of our AI initiatives to become the primary driver of Nubank’s most critical decision systems. We are seeking an Lead Machine Learning Engineer (Applied AI Scientist) to lead high-impact research projects that bridge the gap between state-of-the-art AI and production-grade financial systems. You will be responsible for solving complex, ambiguous problems using Deep Learning and Foundation Models, ensuring our architectures are scalable, efficient, and driving measurable business results.
As an Applied AI Scientist (MLE), you’re expected to:
- Research Execution & Technical Leadership (Complexity & Autonomy)
- Lead and execute complex applied research initiatives independently, focusing on building and optimizing architectures (e.g., Transformers, GNNs) that can be deployed across critical use cases like Credit, RecSys, GenAI, and real-time inference.
- Address difficult and ambiguous modeling problems that require coordination across various stakeholders (Data, Infra, Product), delivering innovative solutions with a clear focus on medium-term impact.
- Bridge the gap between research and production by designing architectures that respect MLOps constraints, ensuring models are optimized for latency, interpretability, and cost-efficiency.
- Strategic Impact & Collaboration (Impact)
- Develop and deliver innovative solutions that address project-level challenges, focusing on pushing the latest platform and AI research improvements into downstream production models.
- Actively participate in cross-functional collaborations, ensuring that research outputs are seamlessly integrated into Nubank's decision-making engines.
- Establish technical standards within the AI Core team for experimentation, model evaluation, and code quality, inspiring peers to raise their performance.
- Mentorship & Function Contribution (Function Contribution)
- Serve as a technical mentor for senior engineers and researchers, providing guidance on deep learning fundamentals, problem formulation, and research methodology.
- Actively contribute to the function's growth by participating in mandatory activities like hiring (interview panels) and leading internal task forces to improve our ML lifecycle.
- Contribute to thought leadership by participating in research collaborations or internal papers that align with Nubank’s strategic goals.
What are we looking for?
- Professional Experience: 5-7+ years in applied AI/ML, with a proven track record of delivering research-driven systems into production environments
- Technical Mastery:
- Deep expertise in Deep Learning architectures (Transformers, Multimodal, or GNNs).
- Strong coding skills in Python and proficiency with frameworks like PyTorch, JAX, or TensorFlow.
- Solid understanding of MLOps and the constraints of deploying models at scale.
- Problem Solving: Sophisticated skills in ML problem formulation and the ability to navigate uncertainty when data is messy or unavailable.
- Communication: Ability to communicate complex technical concepts to both technical peers and cross-functional stakeholders, ensuring alignment and buy-in.
- Analytical Capacity: Experience with large-scale experimentation and A/B testing to validate research hypotheses.
Our Benefits
- Chance of earning equity at Nubank
- Food/ Meal Card (Vale-Refeição and/or Vale Alimentação)
- Public Transportation Commuting Benefit (Vale-Transporte)
- NuCare – Psychological, Financial and Legal Assistance Program
- Life Insurance
- Medical Plan
- Dental Plan
- NuLanguage – Language Course Program
- Nucleo - Our learning platform of courses
- Extended Parental Leave
- Daycare Allowance
- Parental Consultancy
- Work-from-home Allowance
- Gym Partnerships
- 30 days of paid vacation
- Relocation Assistance Package, if applicable
Work Model for this Role
Hybrid 2-3 times/week: Our hybrid work model brings us to the office at least twice a week, on strategic days designed to maximize team connection and collaboration. For more details, visit https://building.nubank.com/nu-hybrid-work-model/
Ready to apply?
Apply to Nubank