Machine Learning Engineer with (Databricks)

Job Role: Machine Learning Engineer with (Databricks)Experience: 10+Location: New YorkNote: Only Newyork Locals, F2F Interview"Strong expertise in Databricks for end-to-end ML workflows"SkillsRequired Qualifications 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 stakeholdersTechnical 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