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, 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 Snowflake
• Delivered 2+ production ML models (forecasting, classification, or recommendation)
• Clear communication skills for client interactions and technical documentation