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