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 Datab...