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Data Scientist

1 month ago

india Yubi Full time
Job Title: Data Scientist 2 (LLM/GenAI)Location:

BangaloreExperience:

2 - 4 yearsEmployment Type:

Full-timeJob Summary:We are looking for a highly skilled

Data Scientist (LLM)

to join our AI and Machine Learning team. The ideal candidate will have a strong foundation in

Machine Learning (ML), Deep Learning (DL), and Large Language Models (LLMs) , along with hands-on experience in building and deploying

conversational AI/chatbots . The role requires expertise in

LLM agent development frameworks

such as

LangChain, LlamaIndex, AutoGen, and LangGraph . You will work closely with cross-functional teams to drive the development and enhancement of AI-powered applications.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 & Qualifications:2-4 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 PlusStrong proficiency in

Python

and experience with ML/DL frameworks such as

TensorFlow, PyTorch, 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.Why Join Us?Opportunity to work on cutting-edge

LLM and Generative AI projects .Collaborative and innovative work environment.Competitive salary and benefits.Career growth opportunities in AI and ML research and development.