Mid Machine Learning Engineer

Join our team as a Mid Machine Learning Engineer (Hybrid – Lisbon). You will productionize machine learning models developed by Data Scientists and reliably deploy them into production environments, building and maintaining ML-focused CI/CD pipelines supporting model deployment and lifecycle management.

• Productionize machine learning models developed by Data Scientists and reliably deploy them into production environments
• Build and maintain ML-focused CI/CD pipelines supporting model deployment and lifecycle management
• Monitor models in production, tracking performance, failures, and key metrics, and implementing alerting where required
• Develop clean, structured, maintainable, and testable Python code aligned with engineering standards
• Collaborate closely with Data Scientists and Data Engineers on model deployment and data transformation initiatives
• Optimize model performance, response times, and operational efficiency in production environments
• Contribute to retraining automation initiatives and the continuous improvement of MLOps practices
• Take ownership of production deployments, pipelines, monitoring, troubleshooting, and operational improvements

• 3+ years of professional experience in Machine Learning
• Strong Python skills, including project structuring, reusable and testable code, object-oriented programming, design patterns, and testing with pytest or unittest
• Strong SQL skills for querying and manipulating data
• Understanding of MLOps fundamentals, including Git versioning, pull requests, code reviews, and ML-specific versioning practices
• Experience with core ML frameworks such as TensorFlow, PyTorch, and Scikit-learn
• Experience with CI/CD pipelines, using tools such as GitHub Actions or Jenkins
• Familiarity with AWS, GCP, or Azure for running and integrating ML workloads
• Experience deploying models using Docker and/or Kubernetes, including an understanding of model optimization and compression
• Familiarity with building model-serving APIs using FastAPI or Flask
• Strong collaboration and communication skills, with the ability to work effectively across Data Science and Engineering teams
• Proactive and structured approach to problem-solving, with the ability to handle moderately complex technical challenges
• Strong sense of ownership and accountability for production deliverables, deployments, pipelines, and fixes
• Ability to learn quickly and adapt to evolving technologies, feedback, and MLOps best practices
• English proficiency at a professional level (minimum B2)
• Living in Portugal and available to work in a hybrid model in Lisbon

• Basic knowledge of Java or Scala is a plus, particularly for integration with existing systems

• opportunity to integrate into a solid company
• participate in projects of high recognition, nationally and internationally
• appealing technological environment
• career progression

Resumo organizado por IA a partir do anúncio original. Confirma os detalhes no site da empresa.