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

- ns Strong experience in ML Ops (Model Deployment, Monitoring, CI/C

- D)
Hands-on experience with Databric
- ks Strong SQL expertise (mandatory) for data manipulation and pipeline developme
- ntGood communication and stakeholder management skil
- ls

Experience 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