MLOps Engineer (m/f/d)
Core
Build, operate, and improve ML/AI solutions in production by turning models into secure, maintainable, and reliable production services.
Role type
MLOps Engineer
Builds
Containerized ML/AI services, CI/CD pipelines, and internal tooling for the ML lifecycle
Domain
Healthcare e-pharmacy / Machine Learning Operations
Deliverable
production ML models
Required skills
Python, Docker, Kubernetes, CI/CD pipelines, model versioning, model validation, observability, secure software development
Preferred skills
MLflow, Kubeflow, automated testing, software architecture design
Responsibilities
Build and operate containerized services using orchestration platforms; Troubleshoot production issues and improve reliability/performance/cost-efficiency; Develop maintainable Python code for production services and automation; Build and improve CI/CD pipelines for ML/AI services; Implement data and model versioning, validation, and observability; Integrate automated security checks into delivery pipelines
