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 robust SQL skills (mandatory) along with good communication abilities to collaborate effectively with cross-functional teams.
Responsibilitie
- s Design, implement, and manage end-to-end ML pipelines for model training, testing, and deploymen
- t Deploy and maintain machine learning models in production environment
- s Develop and optimize data pipelines using SQL (mandatory
- )Work closely with Data Scientists and Data Engineers to operationalize ML model
- s Build and maintain CI/CD pipelines for ML workflow
- s Monitor model performance and ensure scalability and reliabilit
- y Utilize Databricks for data engineering, model development,



and deploymen
- t Ensure best practices in data governance, versioning, and reproducibilit
- y Troubleshoot 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
- nt Good 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

📌 Mlops Engineer (Hyderabad)
🏢 Blend
📍 Hyderabad