ML Engineer – Databricks

Job Title : ML Engineer – Databricks

Location : Chennai / Bangalore

Budget : Open to discuss

Notice Period : Immediate joiner / Serving notice with less than 60 days / Notice is less than 60 days

We are looking for an ML Engineer with expertise in building end-to-end machine learning workflows on Databricks. You will develop, train, and deploy ML models at scale using MLflow and Mosaic AI for enterprise clients.

Technical Skills Required (6-8 of the following) :

• MLflow : experiment tracking, model registry, and model versioning
• Databricks Feature Store for feature engineering and sharing
• Model Serving for real-time and batch inference endpoints
• AutoML for baseline model generation and feature importance
• Distributed training with Spark MLlib, XGBoost, and Horovod
• PyTorch and TensorFlow on Databricks clusters (single-node and distributed)
• Hyperopt for hyperparameter tuning at scale
• Lakehouse Monitoring for model drift and data quality tracking

Experience :