Machine Learning Operations Engineer (f/m/div.)
Core
Design and implement MLOps strategy and architecture for a cloud environment, enabling a self-service loop for data ingestion, feature engineering, model training, validation, deployment, and monitoring.
Role type
Senior MLOps Engineer (Infrastructure & Platform)
Builds
Self-service MLOps platform and IaC solutions for cloud resource provisioning
Domain
Cloud Infrastructure & Machine Learning Operations
Deliverable
production ML models | infrastructure
Required skills
MLOps lifecycle management, Infrastructure as Code (Terraform), CI/CD pipeline design, Python scripting, Bash scripting, Kubernetes, Azure services, Microsoft Entra ID, GNU/Linux systems
Preferred skills
Ansible, Agile/SAFe methodologies, stakeholder communication
Technologies
Terraform, GitHub Actions, Kubernetes, Azure, Microsoft Entra ID, Python, Bash, GNU/Linux
Responsibilities
Collaborate on MLOps strategy alignment with business objectives, design technical architecture for the MLOps platform, implement IaC solutions for cloud provisioning, develop monitoring dashboards and alerts, maintain documentation for MLOps processes, participate in code reviews and best practice development
Seniority
Senior, hands-on IC