Machine Learning Engineer / Data Scientist (Data bricks & Snowflake)

Role Overview We are seeking a highly motivated Machine Learning Engineer / Data Scientist with hands-on experience in Databricks, Snowflake, MLflow, and Unity Catalog, along with strong Python expertise. This role bridges advanced analytics and production ML engineering. The ideal candidate can build robust models, operationalize them using modern MLOps practices, and design scalable data pipelines within cloud-native environments. Key Responsibilities Machine Learning & Advanced Analytics Dev

Role : Azure Databricks Architect Location : Iselin, NJ (Hybrid/Local candidates only) Must have : Databricks , Pyspark , Azure Cloud Services, SQL Technical Skills: Strong expertise in Databricks (Delta Lake, Unity Catalog, Lakehouse Architecture, Table Triggers, Delta Live Pipelines, Databricks Runtime etc.)Proficiency in Azure Cloud Services.Solid Understanding of Spark and PySpark for big data processing.Experience in relational databases.Knowledge on Databricks Asset Bundles and GitLab.Key

Job Role:Senior Machine Learning Engineer Location: NYC (Onsite) Experience: 10 Years Skills: Machine Learning Engineering Design, develop, and deploy scalable machine learning models using modern frameworks (e.g., PyTorch) Re-engineer and optimize legacy models into efficient, production-grade implementations Improve model performance, scalability, and reproducibility Support model validation, benchmarking, and certification processes Ensure full traceability and documentation of model log

Required : MDM Databricks Pyspark SQL Python Job Summary: We are seeking highly skilled Databrick Architect with strong expertise in MDM SQL, Python, Datawarehouse, Cloud ETL tools to join our data team. The ideal candidate will design, implement and optimize large-scale data pipeline, ensuring scalability, reliability and performance. This role involves working closely with multiple teams and business stakeholders to deliver cutting-edge data solutions. Key Responsibilities: Data Pipelin