Skills Required

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.