The Role
Develop and maintain Databricks-based ETL/ELT pipelines and build RAG applications using Python, LLMs, embeddings, vector databases, and prompt engineering. Prepare and validate data, integrate AI models with enterprise platforms, optimize solutions for scalability, and collaborate with data engineering and business teams. Preferred experience includes Spark, cloud platforms, LangChain, LlamaIndex, MLflow, REST APIs, and cloud AI services.
Summary Generated by Built In
AI/ML Engineer – ETL, Databricks & RAG
Experience: 4–8 Years
Job SummaryWe 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.
- 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.
- 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.
Skills Required
- 4-8 years of professional experience
- Strong hands-on experience with 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
- Experience with PySpark or Spark
- Knowledge of Azure, AWS, or 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
Am I A Good Fit?
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.
Success! Refresh the page to see how your skills align with this role.
The Company
What We Do
Winfo Solutions is an AI innovation-led digital transformation company that helps organizations modernize operations, accelerate growth, and unlock value from data, automation, cloud, and enterprise technologies. It delivers Oracle transformation, AI-powered innovation, intelligent automation, data engineering, analytics, business intelligence, cloud modernization, managed services, and custom application development for global enterprises across industries seeking stronger business outcomes and modernized technology environments.
