Machine Learning Engineer / Data Scientist (Databricks & Snowflake)
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Role: Machine Learning Engineer / Data Scientist (Databricks & Snowflake)Experience: 10 yearsLocation: NYC(Only Locals)Required SkillsML Engineering & MLOps Productionize ML models using MLflow for experiment tracking, model registry, and lifecycle management Implement CI/CD pipelines for ML workflows Monitor model performance and manage version control Ensure reproducibility and governance of ML assets Manage feature pipelines and model retraining strategies________________________________________Databricks & Distributed Processing Build scalable data pipelines using Databricks (Spark) Optimize distributed workloads for performance and cost efficiency Implement notebook-based and production-grade job workflows Leverage Unity Catalog for governance, lineage, and secure data/model access control________________________________________Data Warehousing & Snowflake Design and optimize data models in Snowflake Write advanced SQL queries for transformation and analytics Integrate Snowflake with Databricks for seamless data workflows Support ELT/ETL design and performance tuning