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