Job Description: Must Have Skills: ML Engineer, Snowflake & MLflow

External Description:

We are seeking an ML Engineer with solid expertise in deploying, monitoring, and managing machine learning pipelines on Snowflake. The ideal candidate will act as a bridge between the Data Engineering team and the ML team, ensuring seamless integration of ML models into production workflows.

- Hands-on experience with MLflow, Snowpark, and ML pipeline orchestration is essential.
- Deploy, monitor, and optimize ML models on Snowflake.
- Design and maintain end-to-end ML pipelines (training, validation, deployment, monitoring).
- Use MLflow for experiment tracking, model registry, and performance monitoring.
- Collaborate with Data Engineers on data ingestion, transformations, and model-ready datasets.




- Implement MLOps best practices (CI/CD for ML, model versioning, reproducibility).
- Support performance tuning of ML models and pipelines.
- Provide governance and documentation for ML workflows.
- ML Engineering: ML pipeline design, model deployment, monitoring, and retraining.
- Snowflake: Strong knowledge of Snowflake platform, Snowpark, and SQL.
- MLflow: Hands-on experience with experiment tracking, model registry, and monitoring.
- Programming: Python (pandas, numpy, scikit-learn, PySpark).
- DevOps/MLOps: CI/CD pipelines, version control (GitHub), containerization (Docker), orchestration (Airflow/Databricks workflows).

📌 ML Engineer (Snowflake & MLflow) (Chennai)
🏢 RECEX
📍 Chennai