- About Job/Role

Role focused on building and deploying AI/ML and Generative AI applications with specialization in RAG and Agentic AI.
Involves working with Large Language Models (LLMs), deep learning, NLP, enterprise data ingestion, and cloud platforms.

- Roles and Responsibilities

Build and deploy AI/ML and Generative AI applications.
Develop and implement RAG and Agentic AI-based applications.
Design and manage enterprise-grade, secure data ingestion for structured/unstructured data, including indexing, search, and advanced retrieval.
Build CI/CD pipeline templates for AI SDLC, including MLOps, RAG pipelines, and data ingestion pipelines.

- Required Qualification

Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field.

- Experience

- Skills

Proven experience in building and deploying AI/ML and Generative AI applications.
Hands-on experience with RAG and Agentic AI applications.
Solid understanding of deep learning and Natural Language Processing (NLP).
Strong experience with LLMs and frameworks (e.g., LangChain, LlamaIndex).
Expertise in ML frameworks such as TensorFlow, PyTorch, Scikit-learn, or similar.
Strong proficiency in Python programming.
Hands-on experience with cloud platforms such as Azure and Databricks (preferred).
Strong experience in building CI/CD pipeline templates for AI SDLC, MLOps, and RAG pipelines.

Find Your Dream Job

Latest Job Opportunities