Data Scientist/ Senior Data Scientist- NLP GenAI

Fractal Analytics Ltd.; Bengaluru; On-site; INR 2,500,000 - 4,500,000; Full time

Job summary

Fractal Analytics Ltd. in Bengaluru invites experienced AI engineers to design and implement advanced GenAI solutions using LLMs. You will drive end-to-end development, maintain libraries and tools, and participate in code reviews to uphold quality.

Strong Python and GenAI skills are required, with rapid ownership and teamwork across cross-functional teams. The role emphasizes staying current with AI research, collaborating to align roadmaps, and delivering solutions integrated across

Qualifications

• Hands-on Python skills and Core GenAI skills are mandatory and will be evaluated during the interviews.
• Experience with LLMs, generative AI, and end-to-end solution development is required.
• Strong communication and collaboration abilities within cross-functional teams.

Responsibilities

• Design and implement advanced AI/ML solutions using LLMs and generative AI.
• Develop and maintain code libraries, tools, and frameworks for generative AI development.
• Contribute to code reviews, maintain high code quality, and participate in full software lifecycle.

Skills

Python

NLP

Generative AI

LangChain

LlamaIndex

Vector databases

Prompt engineering

Azure OpenAI

Google Vertex AI

AWS Bedrock

TensorFlow

PyTorch

HuggingFace

Quantization

PEFT

RLHF

Data annotation workflow

GPU utilization

Docker

FastAPI

Django

Flask

Git

Cloud platforms

Education

B.E./B.Tech./M.Tech in Computer Science or related technical degree

Tools

Docker

FastAPI

Git

TensorFlow

PyTorch

Job description

Job Description

Hands‑on Python skills and Core GenAI Skills are mandatory and will be evaluated during the interviews.

Design and implement advanced solutions utilizing Large Language Models (LLMs). Demonstrate self‑driven initiative by taking ownership and creating end‑to‑end solutions. Conduct research and stay informed about the latest developments in generative AI and LLMs. Develop and maintain code libraries, tools, and frameworks to support generative AI development. Participate in code reviews and contribute to maintaining high code quality standards. Engage in the entire software development lifecycle, from design and testing to deployment and maintenance. Collaborate closely with cross‑functional teams to align messaging, contribute to roadmaps, and integrate software into different repositories for core system compatibility. Possess strong analytical and problem‑solving skills. Demonstrate excellent communication skills and the ability to work effectively in a team environment.

Technical Skills

• NLP: Hands‑on experience in use case classification, topic modeling, Q&A and chatbots, search, Document AI, summarization, and content generation.
• Computer Vision and Audio: Hands‑on experience in image classification, object detection, segmentation, image generation, audio, and video analysis.
• Generative AI: Proficiency with SaaS LLMs, including LangChain, LlamaIndex, vector databases, prompt engineering (COT, TOT, ReAct, agents). Experience with Azure OpenAI, Google Vertex AI, AWS Bedrock for text/audio/image/video modalities. Familiarity with open‑source LLMs, including tools like TensorFlow/PyTorch and HuggingFace. Techniques such as quantization, LLM finetuning using PEFT, RLHF, data annotation workflow, and GPU utilization.
• Cloud: Hands‑on experience with cloud platforms such as Azure, AWS, and GCP. Cloud certification is preferred.
• Application Development: Proficiency in Python, Docker, FastAPI/Django/Flask, and Git.

Education & Experience

B.E/B.Tech/M.Tech in Computer Science or related technical degree—or equivalent.