● Build and maintain a scalable and reliable AI platform that adheres to MLOps best practices.

● Collaborate with the team to integrate ML workloads and build orchestration pipelines.

● Automate and optimize infrastructure and deployment processes.

● Design, implement, and maintain monitoring, logging, and alerting systems for the ML platform.

● Work with the data engineering and data science teams to ensure seamless integration of models into production.

● Research and implement new technologies and best practices in the ML operations domain.