We are looking for a skilled ML Ops Engineer with strong experience in deploying and managing machine learning models in production environments. The ideal candidate must have hands-on expertise in ML Ops practices, Databricks, and strong SQL skills (mandatory) along with good communication abilities to collaborate effectively with cross-functional teams.
Responsibilities
- Design, implement, and manage end-to-end ML pipelines for model training, testing, and deployment
- Deploy and maintain machine learning models in production environments
- Develop and optimize data pipelines using SQL (mandatory)
- Work closely with Data Scientists and Data Engineers to operationalize ML models
- Build and maintain CI/CD pipelines for ML workflows
- Monitor model performance and ensure scalability and reliability
- Utilize Databricks for data engineering, model development, and deployment
- Ensure best practices in data governance, versioning, and reproducibility
- Troubleshoot and resolve production issues efficiently
