MLOps Engineer

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. Responsibilitie sDesign, implement, and manage end-to-end ML pipelines for model training, testing, and deploymen tDeploy and maintain machine learning models in production environment sDevelop and optimize data pipelines using SQL (mandatory )Work closely with Data Scientists and Data Engineers to operationalize ML model sBuild and maintain CI/CD pipelines for ML workflow sMonitor model performance and ensure scalability and reliabilit yUtilize Databricks for data engineering, model development, and deploymen tEnsure best practices in data governance, versioning, and reproducibilit yTroubleshoot and resolve production issues efficientl y Qualificatio nsStrong experience i n ML Ops (Model Deployment, Monitoring, CI/C D)Hands-on experience wit h Databric ksStrong SQL expertise (mandator y) for data manipulation and pipeline developme ntGood communication and stakeholder management skil lsExperience with cloud platforms (AWS/Azure/GC P)Bachelor’s or master’s degree in computer science, Engineering, or related fie ld4+ years of relevant experience in ML Ops / Data Engineering / ML Engineeri ng