Ml engineer – snowflake

ML Engineer – Snowflake
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, Light GBM, Py Torch 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 Snowflake
- Delivered 2+ production ML models (forecasting, classification, or recommendation)
- Clear communication skills for client interactions and technical documentation