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Machine Learning Engineer / Data Scientist (Databricks & Snowflake)

Jobs via Dice

New York · On-site Full-time Senior Today

About the role

About

Dice is the leading career destination for tech experts at every stage of their careers. Our client, ISite Technologies Inc, is seeking the following. Apply via Dice today!

Job Role

Machine Learning Engineer / Data Scientist (Databricks & Snowflake)

Experience

10+ Years

Location

New York

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

🔹 Databricks & Distributed Processing

  • Build scalable data pipelines using Databricks (PySpark, Python)
  • 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

Requirements

  • Experience: 10+ Years
  • Leverage Unity Catalog for governance, lineage, and secure data/model access control
  • 🔹 Data Warehousing & Snowflake

Responsibilities

  • 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
  • Build scalable data pipelines using Databricks (PySpark, Python)
  • 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
  • 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

Skills

CI/CDDatabricksELTETLMLflowML EngineeringMLOpsPythonPySparkSnowflakeSQLUnity Catalog

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