Machine Learning Engineer (H/F)
Core
Design, industrialize, and deploy large-scale AI solutions for new use cases, serving clients and public sector organizations.
Role type
Machine Learning Engineer (MLOps focus)
Builds
Production-ready AI models and scalable MLOps pipelines
Domain
Artificial Intelligence / Industrial AI / Cloud & On-premise environments
Deliverable
production ML models
Required skills
Machine Learning frameworks (Pandas, NumPy, Scikit-learn), MLOps pipeline deployment, Containerization (Docker, Kubernetes), Cloud and on-premise environment management
Preferred skills
Algorithmic solution design, Technical documentation, Agile development practices
Technologies
Pandas, NumPy, Scikit-learn, Docker, Kubernetes, CI/CD tools
Responsibilities
Identify and analyze client needs through ideation workshops, Integrate and maintain AI solutions in Big Data and cloud environments, Establish and maintain CI/CD and DevSecOps/MLOps pipelines, Share best practices and contribute to team upskilling
Seniority
Mid-Senior, hands-on IC