AI/ML Engineer – ETL, Databricks & RAG

Experience: 4–8 Years

Job Summary

We are looking for an AI/ML Engineer with strong experience in ETL, Databricks, and RAG (Retrieval-Augmented Generation) to build and deploy AI/ML and data solutions.

Key Responsibilities

• Develop and maintain ETL/ELT data pipelines using Databricks.
• Build and implement RAG-based AI applications .
• Work with LLMs, embeddings, vector databases, and prompt engineering.
• Prepare, clean, transform, and validate data for AI/ML applications.
• Develop ML/AI solutions using Python .
• Integrate AI models with enterprise applications and data platforms.
• Optimize data pipelines and AI solutions for performance and scalability.
• Work with Data Engineering and business teams to deliver AI solutions.

Mandatory Skills

• Strong hands-on experience in Python .
• Strong experience with Databricks and ETL/Data Engineering .
• Hands-on experience with RAG architecture and LLM applications .
• Good knowledge of SQL and data processing .
• Experience with LLMs, embeddings, vector databases, and prompt engineering .
• Understanding of Machine Learning and AI concepts.

Good to Have

• Experience with PySpark / Spark .
• Knowledge of Azure/AWS/GCP .
• Experience with LangChain, LlamaIndex, or similar frameworks .
• Knowledge of MLflow and AI/ML model deployment.
• Experience with REST APIs and cloud-based AI services .