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"