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Data Scientist_ NLP GenAI_ 3 to 5yrs

Reads like a ML Engineer role: putting models into production.

Bengaluru

Pay
Pay not listed
Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
Apply at Fractal

What you’ll work on

Full posting
  • Design and implement advanced solutions using Large Language Models

  • Take ownership of end-to-end solutions, from design through deployment and maintenance

  • Develop and maintain code libraries, tools and frameworks for generative AI

  • Research the latest developments in generative AI and LLMs

  • Take part in code reviews to keep code quality high

From the employer’s posting
Design and implement advanced solutions utilizing Large Language Models (LLMs).
Engage in the entire software development lifecycle, from design and testing to deployment and maintenance.
Develop and maintain code libraries, tools, and frameworks to support generative AI development.
Conduct research and stay informed about the latest developments in generative AI and LLMs.
Participate in code reviews and contribute to maintaining high code quality standards.

What you’ll bring

All qualifications

Core experience

  • 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.
Qualification wording
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.

Tools in this posting

  • Python
  • AWS
  • Azure
  • Docker
  • GCP
  • Django
  • FastAPI
  • Flask
  • Hugging Face
  • PyTorch
  • TensorFlow
Source — Tool mentions in context
- 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:
- 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.
- 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.
- 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.

Posting record

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Status in our records
Live
First seen by us
Sep 15, 2026 · 44 days ago
Recorded sightings
63
Last seen by us
Oct 30, 2026

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Your next step

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Job description

View original posting ↗

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!

Not the right fit?  Let us know you're interested in a future opportunity by clicking Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest!

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Location & working pattern

Bengaluru

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