Machine Learning Engineer

Job Role: Machine Learning Engineer / Data Scientist (Databricks & ml flow) Experience: 10 Years Location: NYC (Only Locals) Conditions: Onsite Interview Skills: • Strong expertise in Databricks for end-to-end ML workflows • 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 • Knowledge of Unity Catalog for data governance and access control • Solid understanding of ML lifecycle, from data ingestion to production deployment • Communicate insights clearly to technical and business stakeholders Technical Skills • Strong programming skills in Python (pandas, NumPy, scikit-learn, etc.) • Hands-on experience with Databricks (Spark, notebooks, jobs) • Working knowledge of MLflow • Experience implementing governance using Unity Catalog • Strong SQL proficiency • Understanding of distributed computing concepts"