ML Ops

Job Description

Must Have:
i.      Experience with Databricks (cluster config, pipelines, job orchestration, admin setup).

ii.      Proficient in PySpark for ETL and data transformations.

iii.      Should have understanding on GitOps

Job Description - Grade Specific

Nice to have:

1.      Hands-on with building CI/CD pipelines for ML model workflows.

2.      Working knowledge of Azure ML services: model registry, jobs, batch endpoints.

3.      Familiarity with infrastructure automation using Bicep or CloudFormation