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ML / Data Science Engineer (Databricks, Snowflake, Python, SQL) - Mumbai, MH - AS
Job Description: ML / Data Science Engineer - Optional Flex Role
We are looking for an offshore ML/Data Science Engineer to support elastic data science and machine learning work for a modern Snowflake and Databricks-based data platform.
This role is best suited for authorized project work, not baseline KTLO operations.
Responsibilities:
We are looking for an offshore ML/Data Science Engineer to support elastic data science and machine learning work for a modern Snowflake and Databricks-based data platform.
This role is best suited for authorized project work, not baseline KTLO operations.
Responsibilities:
- Support data science workflows using Databricks, Snowflake, Python, and SQL.
- Help prepare datasets for ML, enrichment, analytics, and product features.
- Assist with feature engineering, model evaluation, and data validation.
- Operationalize ML workflows in partnership with data engineering and DevOps.
- Document assumptions, lineage, outputs, and model/data quality concerns.
- 3+ years in data science, ML engineering, or analytics engineering.
- Strong Python and SQL.
- Experience with Databricks notebooks/jobs and Snowflake data.
- Understanding of data pipelines, model lifecycle, and production data quality.
- MLflow, Spark, feature stores, Snowflake Cortex/Snowflake Intelligence, LLM/data product experience.