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Role: Machine Learning Engineer / Data Scientist (Databricks & Snowflake)
Experience: 10 years
Location: NYC
Required Skills:
ML 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
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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
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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