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Experience on supporting MLOps on cloud (AWS, Azure, or GCP).
Build CI/CD pipelines orchestration by Jenkins, GitHub Actions, Circle CI, Airflow or similar tools.
Data science model review, run the code refactoring and optimization, containerization, deployment, versioning, and monitoring of its quality.
Understanding of docker container and Kubernetes.
Experience with MLOps Frameworks like Kubeflow, MLFlow, DataRobot, Airflow etc.
Programming languages like Python or Bash, good understanding of Linux, knowledge of frameworks such as scikit-learn, Keras, PyTorch, Tensorflow, etc.
Ability to understand tools used by data scientist and experience with software development and test automation.
MLOps, Jenkins, Terraform, Docker, Kubernetes. - Any Cloud Platform. - Python/Bash.