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Databricks ML Engineer with GenAI

Location: Bangalore
Work Mode: 5 Days Work from Office
Experience: 9 to 12 Years

Job Overview

We are seeking an experienced Databricks ML Engineer with Generative AI expertise to design, develop, and deploy scalable machine learning and GenAI solutions on the Databricks platform. The ideal candidate will have solid experience in MLOps, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and cloud-based data engineering.

Key Responsibilities
- Design, build, and deploy machine learning and Generative AI solutions using Databricks.
- Develop and optimize end-to-end ML pipelines using Databricks ML, MLflow, and Delta Lake.
- Implement GenAI applications leveraging LLMs such as GPT,



Llama, Mistral, Claude, or similar models.
- Build and maintain RAG-based solutions using vector databases and embedding models.
- Fine-tune, evaluate, and monitor foundation models for business use cases.
- Collaborate with Data Engineers, Data Scientists, and Business stakeholders to deliver AI-driven solutions.
- Develop scalable data pipelines using PySpark and Databricks.
- Implement MLOps best practices including model versioning, CI/CD, and model monitoring.
- Optimize model performance, scalability, and cost efficiency in cloud environments.
- Ensure governance, security, and compliance standards for AI/ML solutions.

📌 Databricks ML Engineer (Bengaluru)
🏢 Experis
📍 Bengaluru