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Data Scientist_ NLP GenAI_ 3 to 5yrs

On-site
FractalBengaluru, IN2 days agoWebsite
Fresh
Full-time

Compensation

Salary undisclosed
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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: 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!

Stack

LLMsComputer VisionGenerative AIPythonPyTorchLlamaGPUGCPAzureLlamaIndexReactHugging FaceVector DatabasesAWSFine-tuningDockerFastAPIDjangoNLPFlaskReinforcement LearningPrompt EngineeringVertex AIQuantizationPEFTTensorFlow
Posted
Sep 15, 2026
Last seen
Sep 15, 2026
First seen
Sep 15, 2026

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