🔑 Key Responsibilities

• Design, build, deploy, and monitor production-ready ML services and pipelines
• Define clear micro-service boundaries to enable parallel development across teams
• Develop and deploy Python-based microservices
• Collaborate closely with Data Scientists to industrialize ML models
• Integrate ML solutions into CI/CD pipelines and production environments
• Support IT Production teams with deployment and environment configuration
• Ensure data quality, model monitoring, retraining, and operational stability
• Share knowledge and best practices within the ML & AI community

🧠 Experience & Skills Required

• 6+ years of experience as a Machine Learning Engineer or similar role
• Strong experience with Python, containerization (Docker/VMs), and CI/CD
• Hands-on knowledge of cloud platforms, AI/ML platforms, and IDEs
• Experience with code, model, and data versioning
• Solid understanding of relational databases
• Experience with Swagger / schema definitions, testing, and mocking
• Proven ability to work with Data Scientists and IT Production teams
• Strong communication skills and a results-driven mindset
• Master’s degree in Computer Science (or equivalent experience)

Nice to have:

• Knowledge of ML libraries and model optimization/compression techniques
• Certifications in Linux, Python, or Data Science