Job Description
Job Title: ML Engineer – Databricks
Location: Chennai/Bangalore/Hyderabad
Budget: Open to discuss
Notice Period: Immediate joiner/ Serving notice with less than 45 days/Notice is less than 30 days only
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 qu...
Location: Chennai/Bangalore/Hyderabad
Budget: Open to discuss
Notice Period: Immediate joiner/ Serving notice with less than 45 days/Notice is less than 30 days only
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 qu...
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