Mandatory Technical Skills
Solid programming experience in Python.
Hands-on experience with Machine Learning workflows and MLOps.
Strong understanding of ML lifecycle management.
Experience with MLflow / Kubeflow / Airflow.
Experience with CI/CD tools such as Jenkins, GitHub Actions, GitLab CI or Argo CD.
Solid hands-on experience with Docker and Kubernetes.
Experience with at least one cloud platform:
AWS
Microsoft Azure
Google Cloud Platform
Experience with model deployment and monitoring.
Knowledge of model versioning, experiment tracking and model registry.
Experience with REST APIs using FastAPI/Flask.
Valuable understanding of Linux and scripting.