AI Summary
Deploy and manage ML models in production environments, building and maintaining CI/CD pipelines for reliable model delivery. Monitor production performance, implement alerting, and optimize model efficiency while writing clean, testable Python code. Requires 3+ years of ML experience, strong Python and SQL skills, and familiarity with cloud platforms and containerization.
Key Highlights
More than 3 years of experience in Machine Learning required
2 days per week in-office in Lisbon, Portugal
English proficiency at least B2 level
100% remote opportunities available
Tech Visa sponsorship for non-EU candidates
Health and Life Insurance provided
Key Responsibilities
Productionize ML models by reliably deploying models developed by data scientists into production environments
Build and maintain ML-focused CI/CD deployment pipelines
Monitor models in production by tracking performance, failures, and key metrics, implementing basic alerting
Write quality, maintainable, testable Python code aligned with team standards
Collaborate cross-functionally with data scientists and data engineers on model deployment and data transformation
Optimize model response times and operational efficiency in production environments
Own deployment pipeline execution, production model management, and retraining automation initiatives
Technical Skills Required
Benefits & Perks
100% Remote opportunities
Health and Life Insurance
Tech Visa sponsorship for non-EU candidates
International career growth opportunities
Nice to Have
Basic knowledge of Java or Scala for integrating with existing systems
Job Description
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
- Deployment pipeline execution
- Production model management
- Monitoring and alerting
- Production performance optimization
- Retraining automation initiatives
- 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.
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- 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
- 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
Explore our comprehensive directory of visa sponsorship jobs from employers worldwide who are ready to sponsor talented international professionals.
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…)
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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