• Liaising with the Data Engineers, Data Scientists and DevOps engineers in developing and implementing the MLOps frameworks
• Strong Engineering skills in implementing scalable ML pipelines on cloud/on-prem
• Having exposure to Kubeflow / TFX for model optimization and orchestration; Docker and container orchestration experience is a must
• Having knowledge of tools, methods, and machine and deep learning techniques is a must
• Establishing standards and validation process for code review, deployment, and monitoring of ML solutions