Company Description

Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. We help organisations solve complex business challenges by combining deep domain understanding with up-to-date data and AI capabilities. Our teams work across strategy, analytics, engineering, and product delivery to create scalable, high-value solutions that improve decision-making, efficiency, and growth.

Job Description

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 Databricks for data engineering, model development, and deployment
- Ensure best practices in data governance, versioning, and reproducibility
- Troubleshoot and resolve production issues efficiently

Qualifications

- Strong experience in ML Ops (Model Deployment, Monitoring, CI/CD)
- Hands-on experience with Databricks
- Strong SQL expertise (mandatory) for data manipulation and pipeline development
- Good communication and stakeholder management skills
- Experience with cloud platforms (AWS/Azure/GCP)
- Bachelor’s or Master’s degree in Computer Science, Engineering, or related field
- 4+ years of relevant experience in ML Ops / Data Engineering / ML Engineering

📌 ML Ops Engineer (Hyderabad)
🏢 Important Business
📍 Hyderabad