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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