Machine Learning Engineer/ MLOps

Expected experience

More than 3 years of experience in the Machine Learning field.

English proficiency should be at least B2 level.

Work model: 2 days per week in the office in Lisbon

What You'll Own

Deployment pipeline execution

Production model management

Monitoring and alerting

Production performance optimization

Retraining automation initiatives

Key Responsibilities

Productionize ML models — Reliably deploy models developed by data scientists into production environments.

Build and maintain deployment pipelines — Develop and support ML-focused CI/CD pipelines.

Monitor models in production — Track performance, failures, and key metrics, implementing basic alerting where needed.

Write quality, maintainable code — Produce clean, structured, testable Python code aligned with team standards.

Collaborate cross-functionally — Work closely with data scientists and data engineers on model deployment and data transformation initiatives.

Optimize performance — Improve model response times and operational efficiency in production environments.

Technical Skills

Familiarity with AWS, GCP, or Azure for running and integrating ML workloads

Experience building and maintaining CI/CD pipelines using tools such as GitHub Actions or Jenkins

Strong Python skills, including project structuring, reusable and testable code, object-oriented programming, design patterns, and testing frameworks (pytest/unittest)

Strong SQL skills for querying and manipulating data in support of model development

Understanding of MLOps fundamentals, including Git versioning, pull requests, code reviews, and ML-specific versioning practices

Experience with core ML frameworks, including TensorFlow, PyTorch, and Scikit-learn

Experience deploying models with Docker or Kubernetes, including an understanding of model optimization and compression

Familiarity with building model-serving APIs using FastAPI or Flask

Nice to have: Basic knowledge of Java or Scala for integrating with existing systems

Professional Skills

Strong collaborator who works effectively with data scientists and engineers to align models, data, and operations

Proactive communicator who clearly shares progress, blockers, and support needs

Solid problem-solver capable of handling moderately complex technical challenges with appropriate guidance

Takes ownership and accountability for operational deliverables, including pipelines, deployments, and production fixes

Learns quickly and adapts based on technical feedback and evolving best practices

What can you expect from us?

Mind-blowing workplace culture. You will be integrated in a professional, dynamic and collaborative team.

100% Remote opportunities

We want you to have the flexibility to work where you feel most comfortable and productive.

International Career

You can expect professional growth and to be connect with the world.

We are represented in Portugal, Belgium, Luxembourg, and Denmark.

And with projects in many other countries: Netherlands, Luxembourg, Singapore and in the United States of America (and a lot more is coming…)

Extra Benefits & Perks

If you wish to work with us and you are outside European Union (good news…) we are a Tech Visa Company, We will help!

As a plus, we provide Health and Life Insurance.

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