Data Scientist

Build and tune NLP and generative-AI models using prompt engineering, fine-tuning, RAG, and vector databases, then deploy them with Docker and GPU training.

Compensation

Not disclosed

Location

Chennai, India

Work setup

Not specified

Seniority

Not specified

Employment

Not specified

Experience

Not specified

Skills

ai
docker
fine-tuning
generative-ai
gpu
huggingface
linux
llm
model-evaluation
nlp
prompt-engineering
python
pytorch
vector-databases

Full description

Role Summary

Own fine-tuning, prompt engineering, RAG pipelines, model evaluation, and production experimentation.

Responsibilities

Build and improve NLP and Generative AI solutions through prompt engineering, fine-tuning, RAG, model evaluation, experimentation, optimization,
collaboration with AI Engineering teams, and continuous innovation. Ownership
increases progressively with experience.

Required Skills

Python, NLP, LLMs, HuggingFace, PyTorch, Prompt Engineering, RAG, Vector Databases, Docker, Linux, GPU-based training, and AI evaluation appropriate
to the experience level.

What We Value

Scientific thinking, ownership, experimentation, collaboration, reproducibility, and continuous learning.

Role Summary

Own fine-tuning, prompt engineering, RAG pipelines, model evaluation, and production experimentation.

Responsibilities

Required Skills

Python, NLP, LLMs, HuggingFace, PyTorch, Prompt Engineering, RAG, Vector Databases, Docker, Linux, GPU-based training, and AI evaluation appropriate
to the experience level.

What We Value

Scientific thinking, ownership, experimentation, collaboration, reproducibility, and continuous learning.