Experience: 2+ Years

Job Location: WFH / Remote (India)

No. of Positions: Multiple

Qualification: Ph.D. in Computer Science, Artificial Intelligence, Computer Vision, Machine Learning, Data Science, Applied Mathematics, or a related field

Work Timings: 1:30 PM IST – 10:30 PM IST

Functional Area: Data Science

The person
will work on Generative AI and advanced data science use cases for the
enterprise and must have deep expertise in Large Language Models (LLMs),
machine learning, and AI-driven solution development, with a strong focus on
delivering scalable solutions to solve business problems.

Job Responsibilities:
- Leverage Generative AI (GenAI),
LLMs, and ML techniques to deliver enterprise use cases
- Design and implement GenAI
solutions such as chatbots, copilots, and intelligent assistants
- Build end-to-end GenAI
pipelines including prompt engineering, embeddings, and
Retrieval-Augmented Generation (RAG)
- Develop and deploy data science
and GenAI solutions in an Agile delivery model
- Implement and scale
high-availability models, LLM applications,



and AI systems across business
functions
- Investigate and create
experimental GenAI prototypes for specific domains and verticals
- Analyze large, complex datasets
to identify patterns and improve model outputs
- Evaluate and optimize LLM
responses, including reducing hallucinations and improving accuracy
- Maintain and enhance existing
AI/ML and GenAI solutions for improved performance
- Design and execute large-scale
experiments to validate models and hypotheses

Skills, Knowledge, Experience:
- Must have a Ph.D. in an
analytical or technical field (e.g., applied mathematics, computer
science)
- Minimum 2 years of data
science-related work experience in live projects is a must.
- Robust knowledge of machine
learning, NLP, and Generative AI concepts
- Hands-on experience with LLMs
(e.g., GPT, Llama, Claude) and prompt engineering
- Experience with RAG
architectures, embeddings, and vector search
- Familiari

📌 Gen AI (India)
🏢 NextGen Invent
📍 India