AI/ML Engineer - Senior Consultant

Winfo Solutions; Telangana; On-site; INR 1,800,000 - 2,800,000; Full time

Job summary

Winfo Solutions is seeking an AI/ML Engineer with strong Python, Databricks, and RAG experience to build and deploy AI/ML and data solutions. The role focuses on ETL/ELT pipelines, LLMs, embeddings, vector databases, and prompt engineering to deliver scalable AI capabilities across enterprise data environments.

Candidate should have 4–8 years of experience in AI/ML, data engineering, and cloud platforms. Collaboration with data teams and business units is essential to deliver robust AI-driven

Qualifications

• Strong hands-on experience with Python and data processing.
• Databricks, ETL/Data Engineering demonstrated in projects.
• Hands-on experience with RAG architecture and LLM applications.
• Knowledge of SQL and data manipulation.

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.
• Collaborate with Data Engineering and business teams to deliver AI solutions.

Skills

Python

Databricks

ETL/Data Engineering

RAG architecture

LLM applications

SQL

Embeddings

Vector databases

Prompt engineering

ML concepts

Tools

PySpark

Spark

Azure

AWS

GCP

LangChain

LlamaIndex

MLflow

REST APIs

Job description

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.

Experience: 4–8 Years

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.