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 .
- Positive 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 .

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

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