Mid-Level MLOps Engineer (m/f/d)
Core
Build, operate, and improve ML/AI solutions in production by developing containerized services, CI/CD pipelines, and automation tooling.
Role type
Mid-level MLOps Engineer
Builds
Production ML/AI services, automated deployment pipelines, and internal tooling
Domain
Healthcare e-pharmacy / Machine Learning Operations
Deliverable
production ML models | infrastructure
Required skills
Python, Docker, Kubernetes, CI/CD pipeline development, model versioning and validation, observability implementation, secure development practices
Preferred skills
MLflow, Kubeflow, automated testing frameworks, software architecture design
Technologies
Python, Docker, Kubernetes, GitHub Actions, Jenkins, MLflow, Kubeflow
Responsibilities
Build and operate containerized services using orchestration platforms; Troubleshoot production issues to improve reliability and cost-efficiency; Develop maintainable Python code for production services and automation; Implement data and model versioning, validation, and observability; Integrate automated security checks into delivery pipelines
Seniority
Mid-level, hands-on IC
