AI/ML Engineer

Description :

Key responsibilities :

- 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

Required skills :

- 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, GitHub, Docker, Airflow / Databricks workflows