AI/ML Engineer – ETL, Databricks & RAG

Experience: 4–8 Years

Job Summary

We are looking for an AI/ML Engineer with solid 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.
Robust experience with Databricks and ETL/Data Engineering.
Hands-on experience with RAG architecture and LLM applications.
Valuable 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.

📌 Ai/ml Engineer Asifnagar (India)
🏢 Winfo Solutions
📍 India