Sr Machine Learning Engineer - Databricks & Snowflake

Responsibilities

• Build, train, validate, and deploy machine learning models for real-world business applications
• Perform exploratory data analysis (EDA) and feature engineering to improve model performance
• Apply statistical modeling and machine learning techniques (supervised and unsupervised)
• Productionize models using MLflow, including experiment tracking, versioning, and lifecycle management
• Develop CI/CD pipelines for ML workflows and monitor model performance in production
• Design and optimize scalable data pipelines using Databricks (Spark) in distributed environments
• Implement data governance, lineage, and access control using Unity Catalog
• Develop and optimize Snowflake data models; write advanced SQL for transformations and analytics

Qualifications

• Leverage strong expertise in Python (pandas, NumPy, scikit-learn) along with hands-on experience in Databricks, Snowflake, MLflow, Unity Catalog, and advanced SQL