ML / Data Science Engineer

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:

Required skills:

Nice to have:

• 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.

Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.