ML Engineer (Databricks focused)

Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Artificial Intelligence, or a related field.

5+ years of experience in Machine Learning, Data Science, or AI-related roles.

Strong hands-on experience with Databricks (mandatory).

Expertise in Databricks ML, Delta Lake, Unity Catalog, MLflow, and Databricks Workflows.

Strong proficiency in Python, PySpark, SQL, and Spark.

Experience with machine learning frameworks such as Scikit-learn, TensorFlow, PyTorch, XGBoost, or LightGBM.

Experience building and deploying machine learning models in production environments.

Strong understanding of feature engineering, model evaluation, hyperparameter tuning, and model monitoring.

Experience with cloud platforms such as Azure, AWS, or GCP.

Knowledge of CI/CD pipelines and MLOps practices. .