ML Ops Engineer

• Job Title: Engineer (ML Ops Engineer)

Work Location: Bangalore / Hyderabad

Experience Required: 6+ years (Rel 4+ Years)

Skills Required

• Python, Spark, SQL
• Cloud data platforms
• Azure
• Palantir Foundry
• Data APIs
• AI/ML pipelines knowledge

Roles & Responsibilities

1. Build and maintain end-to-end ML pipelines including training, validation, model registry, and deployment using platforms such as Azure and Palantir Foundry.
2. Design and develop scalable data pipelines for feature engineering, model training, and real-time or batch inference using Python, Spark, SQL, and cloud technologies.
3. Operationalize AI/ML workflows by integrating models with data APIs and production-grade ML engineering practices.
4. Optimize model performance and data quality through experimentation, validation, monitoring, and automated testing.
5. Collaborate closely with data scientists and MLOps teams to convert prototypes into robust, production-ready AI/ML solutions.