Proficiency in Python, SQL, and data processing frameworks e.g., PySpark, Python.
Experience with ML Ops tools such as SageMaker.
Hands on experience with AWS S3, Lambda, Glue, Step Functions, Azure Data Factory, Synapse
Knowledge of CI/CD for ML models using GitHub Actions, Jenkins, or similar tools.
Familiarity with model monitoring.
Ability to optimize data pipelines for performance and cost efficiency.