Report

Interesting Job Opportunity: Paymeindia - Data Scientist - GenAI/LLM

Salary

₹30 - 45 LPA

Min Experience

1 years

Location

Noida, Uttar Pradesh, India

JobType

full-time

About the job

Info This job is sourced from a job board

About the role

Key Responsibilities

Develop, fine-tune, and deploy Large Language Models (LLMs) for various applications, including chatbots, virtual assistants, and enterprise AI solutions.
Build and optimize conversational AI solutions with at least 1 year of experience in chatbot development.
Implement and experiment with LLM agent development frameworks such as LangChain, LlamaIndex, AutoGen, and LangGraph .
Design and develop ML/DL-based models to enhance natural language understanding capabilities.
Work on retrieval-augmented generation (RAG) and vector databases (e.g., FAISS, Pinecone, Weaviate, ChromaDB) to enhance LLM-based applications.
Optimize and fine-tune transformer-based models such as GPT, LLaMA, Falcon, Mistral, Claude, etc., for domain-specific tasks.
Develop and implement prompt engineering techniques and fine-tuning strategies to improve LLM performance.
Work on AI agents, multi-agent systems, and tool-use optimization for real-world business applications.
Develop APIs and pipelines to integrate LLMs into enterprise applications.
Research and stay up-to-date with the latest advancements in LLM architectures, frameworks, and AI trends .

Required Skills & Qualification

1-4 years of experience in Machine Learning (ML), Deep Learning (DL), and NLP-based model development.
Hands-on experience in developing and deploying conversational AI/chatbots is Plus
Strong proficiency in Python and experience with ML/DL frameworks such as TensorFlow, PyTorch, and Hugging Face Transformers .
Experience with LLM agent development frameworks like LangChain, LlamaIndex, AutoGen, LangGraph .
Knowledge of vector databases (e.g., FAISS, Pinecone, Weaviate, ChromaDB) and embedding models .
Understanding of Prompt Engineering and Fine-tuning LLMs .
Familiarity with cloud services (AWS, GCP, Azure) for deploying LLMs at scale.
Experience in working with APIs, Docker, FastAPI for model deployment.
Strong analytical and problem-solving skills.
Ability to work independently and collaboratively in a fast-paced environment.

Good To Have

Experience with Multi-modal AI models (text-to-image, text-to-video, speech synthesis, etc.) .
Knowledge of Knowledge Graphs and Symbolic AI .
Understanding of MLOps and LLMOps for deploying scalable AI solutions.
Experience in automated evaluation of LLMs and bias mitigation techniques .
Research experience or published work in LLMs, NLP, or Generative AI is a plus.

(ref:hirist.tech)

Paymeindia

python

tensorflow

pytorch

hugging face transformers

langchain

llamaindex

autogen

langgraph

faiss

pinecone

weaviate

chromadb