Job Title: Data Scientist
Experience:
4+ Years
Location:
Bangalore (On-site – 5 Days a Week)
Employment Type:
Full-Time
(Robust GenAI, python, ML)
About the Role:
We are looking for a highly experienced and driven
Data Scientist
with a strong background in
Generative AI, Large Language Models (LLMs)
, and
machine learning systems
. This is a critical role where you will help design, build, and optimize advanced AI/ML solutions that power intelligent products and platforms.
As a senior member of the AI team, you will work on state-of-the-art NLP models, contribute to the architecture of GenAI systems, and bring research to production in a quick-paced and collaborative environment.
Key Responsibilities:
Design and implement scalable AI/ML models, with a focus on
LLMs
and
Generative AI
use cases.
Fine-tune and deploy foundation models (e.g., GPT, LLaMA, Mistral) using Python and up-to-date ML frameworks.
Lead research, experimentation, and prototyping of new ML algorithms and NLP approaches.
Collaborate with data scientists, MLOps engineers, and product teams to integrate AI capabilities into real-world applications.
Develop APIs and end-to-end ML pipelines for training, testing, and deployment.




Stay current with emerging trends in artificial intelligence and apply best practices in production environments.
Required Skills:
9+ years
of experience in
Artificial Intelligence
,
Machine Learning
, and
Python programming
.
Hands-on expertise in
Generative AI
and
Large Language Models (LLMs)
.
Strong knowledge of frameworks such as
PyTorch
,
TensorFlow
, and
Hugging Face Transformers
.
Experience with prompt engineering, fine-tuning, and inference optimization of LLMs.
Solid understanding of NLP, deep learning architectures, and model performance evaluation.
Experience working with
vector databases
(FAISS, Pinecone) and
retrieval-augmented generation (RAG)
architectures.
Proven ability to translate complex research into scalable applications.
Good to Have:
Exposure to
LangChain
,
OpenAI APIs
,
Anthropic Claude
, or other commercial LLM ecosystems.
Familiarity with
cloud platforms
(AWS/GCP/Azure) and MLOps practices (Docker, MLFlow, CI/CD).
Prior experience mentoring junior engineers or leading AI project teams.
Contributions to open-source AI projects or published research in the AI/ML domain.

📌 Statusneo Data Scientist Bengaluru
🏢 NextHire
📍 Bengaluru