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: Robust 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 (India)
🏢 RECEX
📍 India