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Lead Machine Learning Engineer

Referrals Only · Lima, Peru

1Y_TWPER SL DATA Lima Posted May 7, 2026

Lead Machine Learning Engineers at Thoughtworks use modern architectures to develop end-to-end scalable machine learning systems and applications. They use their specialized depth and breadth of knowledge to impact the achievement of client, project or service objectives and advocate for ways of working to promote and deliver excellence. They operate within the framework of functional policies, navigate through intricate challenges and apply their proficiency to contribute to the success of high-stakes projects. Their leadership extends beyond technical prowess, encompassing strategic thinking and effective collaboration to drive innovation and deliver solutions that meet and exceed organizational goals.

As a lead machine learning engineer on projects, you will be leading the design of technical solutions or perhaps overseeing a program inception to build a new system and/or application. Alongside hands-on coding, as a key influencer, you will shape the trajectory of machine learning engineering initiatives, playing a pivotal role in advancing the field and ensuring impactful outcomes for the broader objectives of the company.

Job responsibilities

You will embrace a strategic mindset, contributing to the direction of machine learning (ML) initiatives and aligning technical solutions with broader organizational goals
You will play a pivotal role in program inception, shaping the development of new systems and applications from idea to reality, overseeing technical feasibility and resource allocation
You will leverage your deep understanding of modern architectures to lead the development of scalable and maintainable ML systems, ensuring optimal performance and efficiency
You will translate client needs into technically feasible and impactful ML applications, driving solution design and deployment within complex, high-stakes projects
You will own the development and maintenance of ML applications, including ML pipelines, model training and deployment, and monitoring and evaluation
As a key influencer, you will champion Responsible AI and effective ways of working within the team, advocating for a culture of excellence and continuous improvement
You will navigate intricate technical challenges with proficiency, employing your specialized knowledge to troubleshoot issues and guide the team towards successful resolutions
You will stay at the forefront of the evolving field of machine learning, actively seeking out and implementing new technologies and advancements to ensure Thoughtworks remains a leader in innovation
You will foster a collaborative environment, effectively leading your team through hands-on coding alongside mentorship and guidance, empowering individual growth and knowledge sharing
You will measure and analyze the impact of ML initiatives, iteratively refining approaches and ensuring solutions deliver tangible value to clients and the organization

Job qualifications

Technical Skills

You have experience in developing a technical vision and strategy, keeping it relevant and aligned to the business needs
You can design and execute cross-functional requirements based on business priorities
You have experience in writing clean, maintainable and testable code, demonstrating attention to refactoring and readability of the code using Python or Shell
You have experience with 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
You are a proven leader with a track record of encouraging teammates in their professional development and relationships
Cultivating strong partnerships comes naturally to you; You understand the importance of relationship building and how it can bring new opportunities to our business

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.

See here our AI policy.

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Senior Machine Learning Engineer

Referrals Only · Lima, Peru

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Americas - Data and Artificial Intelligence Lima Posted May 5, 2026

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

An advanced English level is required.
You must have a strong experience with LLM and AI.
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.

About Thoughtworks

Thoughtworks is a dynamic and inclusive community of bright and supportive colleagues who are revolutionizing tech. As a leading technology consultancy, we’re pushing boundaries through our purposeful and impactful work. For 30+ years, we’ve delivered extraordinary impact together with our clients by helping them solve complex business problems with technology as the differentiator. Bring your brilliant expertise and commitment for continuous learning to Thoughtworks. Together, let’s be extraordinary.

See here our AI policy.

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TH

Senior Site Reliability Engineer

Third-Party Job Posts · Peru

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Engineering Latin America Posted May 1, 2026

What Makes Us Unique

At Cloudbeds, we're not just building software, we’re transforming hospitality. Our intelligently designed platform powers properties across 150 countries, processing billions in bookings annually. From independent properties to hotel groups, we help hoteliers transform operations and uplevel their commercial strategy through a unified platform that integrates with hundreds of partners. And we do it with a completely remote team. Imagine working alongside global innovators to build AI-powered solutions that solve hoteliers' biggest challenges. Since our founding in 2012, we've become the World's Best Hotel PMS Solutions Provider and landed on Deloitte's Technology Fast 500 again in 2024 – but we're just getting started.

As a Sr. Site Reliability Engineer, you'll be the guardian of our platform's reliability and performance, ensuring millions of hospitality transactions flow seamlessly across the globe. You'll architect and implement scalable AWS cloud solutions that keep the most ambitious hotels running 24/7, while fostering a culture of automation, resilience, and continuous improvement across our engineering teams.

Our SRE Team:

We're a bottom-up, collaborative team that thrives on healthy debate and shared ownership of our infrastructure. You'll have endless opportunities to influence architecture decisions while working with cutting-edge cloud technologies at scale. We believe the best solutions come from engineers who are empowered to innovate, experiment, and challenge the status quo.

What You Bring to the Team:

Design and implement reliable and scalable AWS architecture to meet the needs of the organization.
Maintain and support highly loaded Kubernetes (EKS) clusters and infrastructure-related components.
Support the CICD process with ArgoCD and GitOps.
Automate the platform deployments with Terraform infrastructure-as-code.
Develop and continuously improve product Observability and Monitoring systems based on the Grafana, Prometheus, DataDog, and Cloudwatch.
Respond and participate with Incident Management and Root Cause Analysis, ensuring minimal impact on services.
Optimize system performance and troubleshoot issues as they arise.
Collaborate with development teams to establish monitoring best practices and ensure systems meet reliability targets.
Collaborate with security teams to implement and maintain security best practices.
Infrastructure support rotation providing guidance to other engineering teams.

What Sets You Up for Success:

5+ years of experience as a DevOps or SRE working within the AWS ecosystem.
5+ years of experience with Kubernetes (EKS) and Helm charts.
Experience with designing, building, and supporting CI/CD pipelines with ArgoCD and GitHub actions.
Experience with infrastructure-as-code methodologies with Terraform.
Experience with Observability and Monitoring with Grafana, Prometheus, DataDog, and Cloudwatch.
Experience with Incident Management, full-stack troubleshooting, performance analysis, and root cause analysis (RCA).
Experience with Web application systems such as Nginx, Ingress controllers, load balancing and Content Delivery Networks.
Experience with Databases (MySQL, PostgreSQL, Aurora) and Middleware technologies (Redis, Memcached and SQS)
Good networking skills with VPC, Security Groups and Network ACLs.
Ability to work remotely and manage your own time in a global team.
Good written and verbal communication in English.
Bachelor’s degree in Computer Science or equivalent experience.

Bonus Skills to Stand Out:

Advanced experience with Database Administration (Aurora, MySQL, PostgreSQL).
Experience working in a PCI-compliant environment.
Experience working with Kong API Gateway.

#LI-REMOTE #LI-IK1

What to Expect - Your Journey with Us

Behind Cloudbeds' revolutionary technology is a team of redefining what's possible in hospitality. We're 650+ employees across 40+ countries, bringing together elite engineers, AI architects, world-class designers, and hospitality veterans to solve challenges others haven't dared to tackle. Our diverse team speaks 30+ languages, but we all share one language: a passion for innovation and travel. From pioneering breakthroughs in machine learning to revolutionizing how hotels operate, we're not just watching the future of hospitality unfold – we're coding it, designing it, writing it and shipping it. If you're ready to work alongside some of the brightest minds in tech who are obsessed with using AI to transform a trillion-dollar industry, this is your chance to be part of something extraordinary.

Learn more online at cloudbeds.com

Company Awards to Check Out!

Best All-In-One Hotel Management System | HotelTechAwards (2025)
Overall 10 Best Places to Work | HotelTechAwards (2025)
Most Loved Workplace® Certified (2024)
Top 10 People’s Choice(2024)
Deloitte Technology Fast 500 (2024)

Discover our Benefits:

Remote First, Remote Always
PTO in accordance with local labor requirements
Monthly Wellness Fridays - enjoy an extra long weekend every month
Full Paid Parental Leave
Home office stipend based on country of residency
Professional development courses in Cloudbeds University
Access to professional development, including manager training, upskilling and knowledge transfer.

Everyone is Welcome - A Culture of Inclusion

Cloudbeds is proud to be an Equal Opportunity Employer that celebrates the diversity in our global team! We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

Cloudbeds is committed to the full inclusion of all qualified individuals. As part of this commitment, Cloudbeds will ensure that persons with disabilities are provided reasonable accommodations in the hiring process. We encourage deaf, hard of hearing, deaf-blind, and deaf-disabled individuals to apply. If reasonable accommodation is needed to participate in the job application or interview process or to perform essential job functions, please contact our HR team by phone at (858) 201-7832 or via email at accommodations@cloudbeds.com. Cloudbeds will provide an American Sign Language (ASL) interpreter where needed as a reasonable accommodation for the hiring processes.

To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Cloudbeds. Staffing, recruiting agencies, and individuals being represented by an agency are not authorized to use this site or to submit applications, and any such submissions will be considered unsolicited. Cloudbeds does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Cloudbeds employees, or any other company location. Cloudbeds is not responsible for any fees related to unsolicited resumes/applications.

#LI-REMOTE

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Senior Machine Learning Engineer

Encora · Peru

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Latam Billable Latin America Posted Apr 29, 2026

Important Information

Location: Peru

Work Mode: Hybrid

Job Summary

As a Senior Machine Learning Engineer (20529), you will be responsible for designing, developing, and maintaining high-quality software solutions. You will collaborate with cross-functional teams to understand business requirements and translate them into scalable and efficient software applications. Your role will involve leading technical projects, mentoring junior engineers, and continuously improving software development practices to ensure the delivery of robust and reliable software systems. 

Responsibilities and Duties

Design, build, and deploy scalable machine learning models and pipelines across the full ML lifecycle
Develop and optimize data processing workflows using Python, SQL, and distributed frameworks such as PySpark
Deploy and monitor machine learning models in cloud environments, ensuring performance, reliability, and scalability
Collaborate with cross-functional teams to translate business problems into data-driven solutions and improve model performance

Qualifications and Skills

Bachelor’s or Master’s degree in Computer Science, Machine Learning, Data Science, or a related field, or equivalent practical experience
5+ years of experience as a Machine Learning Engineer with a focus on deploying and scaling ML systems
Strong proficiency in Python, SQL, and PySpark for large-scale data processing
Hands-on experience with machine learning frameworks such as scikit-learn, TensorFlow, PyTorch, or XGBoost
Experience designing and managing end-to-end ML pipelines using tools such as MLflow or similar
Experience deploying models in cloud platforms such as AWS, GCP, Azure, or Databricks
Strong understanding of MLOps practices including CI/CD, model versioning, and automated retraining
Experience working with containerized environments and Kubernetes for ML workloads
Ability to design evaluation metrics and validate model performance effectively
Strong communication and collaboration skills to work with cross-functional teams and stakeholders

About Encora

Encora is a global company that offers Software and Digital Engineering solutions. Our practices include Cloud Services, Product Engineering & Application Modernization, Data & Analytics, Digital Experience & Design Services, DevSecOps, Cybersecurity, Quality Engineering, AI & LLM Engineering, among others. 

At Encora, we hire professionals based solely on their skills and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality. 

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Encora

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ML Engineer Jobs in Peru.

Lead Machine Learning Engineer

Job responsibilities

Job qualifications

Technical Skills

Professional Skills

Other things to know

Learning & Development

Travel

Company Policies

About Thoughtworks

Senior Machine Learning Engineer

Job responsibilities

Job qualifications

Technical Skills

Professional Skills

Other things to know

Learning & Development

About Thoughtworks

Senior Site Reliability Engineer

What to Expect - Your Journey with Us

Company Awards to Check Out!

Discover our Benefits:

Everyone is Welcome - A Culture of Inclusion

Senior Machine Learning Engineer