Job Summary
We are seeking an MLOps Platform Engineer with 12+ years of experience in Snowflake, Snowpark, Snowflake ML, Python, SQL, AWS, CI/CD, and enterprise MLOps platforms. The ideal candidate will architect and build scalable ML platforms using Medallion Architecture, automate ML lifecycle management, and enable production-grade AI/ML deployments.
Skills
- Snowflake
- Snowpark
- Snowflake ML
- Model Registry
- Feature Store
- Python
- SQL
- AWS
- MLOps
- ML Platform Engineering
- CI/CD
- ML Model Deployment
- Model Monitoring
- Feature Engineering
- Medallion Architecture (Bronze/Silver/Gold)
- dbt (Preferred)
- Dynamic Tables
- Snowflake Tasks
- ML Governance
Responsibilities
- Design and build enterprise MLOps platforms on Snowflake.
- Develop ML training, validation, deployment, inference, and monitoring pipelines.
- Integrate ML workflows with Bronze, Silver, and Gold data layers.
- Implement model versioning, approvals, rollback, and lineage.
- Productionize ML models with Data Science teams.
- Monitor model drift, bias, performance, and data quality.
- Automate retraining using Snowflake Tasks and Dynamic Tables.
- Build reusable feature engineering pipelines.
- Implement CI/CD, automated testing, and ML governance.
- Ensure security, compliance, auditability, and responsible AI practices.
Recruiter Contact
Recruiter: Venkat
Designation: Sr. Recruiter
Company: Brightsol AI
To apply for this job email your details to venkat@brightsol.ai