Machine Learning Engineer/ MLOps
Lisboa
Remote
Este anúncio é de Indeed
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.
- 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
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.
Este anúncio é de Indeed. Ver anúncio original ↗