Data Scientist/Senior Data Scientist - Gen AI (5 to 10 Years)

Fractal; Dadri; On-site; INR 2,500,000 - 4,500,000; Full time

Job summary

Fractal is seeking a Senior Data Scientist to design and implement advanced LLM-based solutions across NLP, CV, and audio modalities. You will take ownership of end-to-end projects, stay abreast of the latest generative AI research, and build reusable libraries and tools to accelerate AI development.

Collaboration with cross-functional teams and strong communication are essential. The role involves working on SaaS LLM stacks, deploying across cloud platforms, and contributing to the full

Qualifications

• Hands-on experience with NLP use cases: classification, topic modeling, Q&A, chatbots, search, summarization and content generation.
• Experience in Computer Vision and Audio: image classification, object detection, segmentation, image generation, audio/video analysis.
• Proficiency with SaaS LLMs and toolchains: LangChain, LlamaIndex, vector databases; Prompt engineering (COT, TOT, ReAct, agents).
• Cloud experience: Azure, AWS, GCP; cloud certification is a plus.
• Experience with Open-source LLMs; frameworks like TensorFlow/PyTorch; HuggingFace.
• Knowledge of model tuning: quantization, PEFT, RLHF; data annotation workflows; GPU utilization.
• Strong Python, Docker, FastAPI/Django/Flask, Git; end-to-end software development lifecycle.

Responsibilities

• Design and implement advanced LLM-based solutions.
• Take ownership to deliver end-to-end projects.
• Stay updated on generative AI developments and research.
• Develop and maintain code libraries and tooling for AI development.
• Participate in code reviews and ensure high code quality.
• Engage across the SDLC from design to deployment and maintenance.
• Collaborate with cross-functional teams to align messaging and roadmaps.

Skills

NLP

CV & Audio

Generative AI

Cloud Platforms

Python

Docker

FastAPI

Git

Tools

LangChain

LlamaIndex

Vector Databases

Azure OpenAI

Google Vertex AI

AWS Bedrock

TensorFlow

PyTorch

HuggingFace

PEFT

RLHF

Job description

It's fun to work in a company where people truly BELIEVE in what they are doing!

We're committed to bringing passion and customer focus to the business.

Job Title: Senior Data Scientist

Location: Bangalore/Mumbai/Gurgaon/Chennai/Pune/Noida/Hyderabad

Responsibilities

• 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.

Primary Skills

• Natural Language Processing (NLP): Hands-on experience in use case classification, topic modeling, Q&A and chatbots, search, Document AI, summarization, and content generation.

AND/OR

• 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 Lang chain, llama index, 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.

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!