aimlroles

Data Scientist_ NLP GenAI_ 3 to 5yrs

Fractal fractal.ai Open · verified Oct 22, 2026
Bengaluru ChennaiCoimbatore +4 Full-time Mid-level AI Research

At a glance

Mid-level AI Research role at Fractal. Bengaluru · full-time.

Pay not stated AI Research salary

RoleAI Research
SeniorityMid-level
LocationBengaluru
EmploymentFull-time
PostedSep 15, 2026 · 5w ago
Also hiring inChennai, Coimbatore, Gurgaon, Hyderabad +2
Role brief

aimlroles summary, based on the employer's posting.

What you'll do

  • Build and ship solutions that use large language models, taking them from initial design through ongoing support
  • Research new developments in generative AI and LLMs, then apply relevant findings to your work
  • Create and maintain libraries, tools and frameworks that support generative AI development
  • Review code and help keep quality high across design, testing, deployment and maintenance
  • Work with other teams on roadmaps, messaging and integrating software into core-system repositories

What you bring

  • A B.E., B.Tech., M.Tech. in computer science or a related technical discipline, or an equivalent qualification
  • Practical NLP experience with areas such as Q&A, chatbots, search, summarization or another listed use case
  • Working knowledge of generative AI tools and approaches, including SaaS LLMs, vector databases and prompt engineering
  • Hands-on Python development with Docker, Git and a framework such as FastAPI, Django or Flask

Who this fits

This role suits a mid-level data scientist who can work independently on end-to-end generative AI solutions and collaborate across teams. The listed work locations are Bangalore, Pune, Mumbai, Gurgaon, Chennai, Hyderabad and Coimbatore.

From the employer

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: Data Scientist

Job Location: Bangalore, Pune, Mumbai, Gurgaon, Chennai, Hyderabad, Coimbatore

Job Description:

  • 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:

  • Natural Language Processing (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 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.

EDUCATION:

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

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

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