Job Title : ML Engineer – Snowflake
Location : Chennai / Bangalore
Budget : Open to discuss
Notice Period : Immediate joiner / Serving notice with less than 60 days / Notice is less than 60 days
We are looking for an ML Engineer with expertise in building and deploying machine learning models natively on Snowflake. You will develop end-to-end ML workflows leveraging Snowpark ML and Snowflake's model management capabilities for enterprise clients.
Technical Skills Required (6-8 of the following) :
- Snowpark ML for feature engineering, model training, and inference
- Snowflake Model Registry for versioning and deployment management
- Snowflake Feature Store for centralized feature management
- Cortex ML functions (forecasting, anomaly detection, classification)
- Snowpark Python UDFs and vectorized UDFs for model serving
- ML libraries : scikit-learn, XGBoost, LightGBM, PyTorch within Snowpark
- MLOps practices : experiment tracking, model monitoring, A / B testing
- Stored procedures for ML pipeline orchestration in Snowflake
Experience :
3+ years in ML engineering with at least 1 year deploying models on SnowflakeDelivered 2+ production ML models (forecasting, classification, or recommendation)Clear communication skills for client interactions and technical documentation