ML Engineer (Snowflake & MLflow)
2 Nos.
116059
Full Time
5.0 Year(s) To 8.0 Year(s)
8.00 LPA TO 10.00 LPA
B.Sc - Computers; B.Tech/B.E. - Computers; BCA/BCS - Computers
Job Description:
Must Have Skills: ML Engineer, Snowflake & MLflow
External Description:
We are seeking an ML Engineer with strong 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.
External Description:
We are seeking an ML Engineer with strong 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).
Key Skills :
Company Profile
This digital transformation company specializes in crafting innovative IT --- for businesses across various industries. With expertise in emerging technologies like AI, blockchain, cloud, and data analytics, the team focuses on driving growth through tailored digital strategies. Their customer-centric approach and agile development process ensure scalable and impactful results. Backed by a global presence and a strong technical team, they aim to redefine the way businesses leverage technology.
Apply Now
- Interested candidates are requested to apply for this job.
- Recruiters will evaluate your candidature and will get in touch with you.