ML Engineer

Job Description:-

• Ability and experience to deploy ML/ AI/ GenAI models on Snowflake; Strong experience on Snowflake and related services
• Past experience of deployment on Snowflake
• experience on Snowflake Cortex (good to have)
• More experience in handling the machine learning pipelines & ML engineering e.g. managing ML pipeline.
• DevOps experienced candidates are more relevant. With CI/CD knowledge.
• MLflow to monitor performance of models
• Some data engineering / SQL exposure is important
• Good Python skills - environment setup and dependency management, coding as per best practices - knowledge of automatic code review tools like Linting and Black.
• Experience in Snowflake data platform and infrastructure/ Snow-park should be known.
• Docker based deployment is good to have

Job Types: Temporary, Contract

Work Location: Remote