MLOps Engineer (human)

Details zur Stelle

Build and maintain CI/CD pipelines for AI model development
Automate AI development workflows and model lifecycle management
Manage infrastructure (Kubernetes, Docker, cloud ML services)
Implement monitoring, logging, and drift detection for production ML models
Collaborate with cross-functional teams to integrate models into production environments
Ensure security, compliance, and reproducibility in model operations

Master’s degree in Computer Science, or related field
3+ years of experience in machine learning operations, DevOps, or software engineering
Strong Python skills and experience with ML frameworks (e.g., PyTorch)
Experience with Kubernetes, Docker, and CI/CD tools (Jenkins, GitHub Actions, GitLab CI)
Experience with cloud platforms (AWS, Azure, or GCP) and modern MLOps tools (e.g., Weights & Biases, MLflow)
Excellent problem-solving and debugging skills
Ability to work independently and as part of a team
You have a perfect command of the English language