Data Scientist_ NLP GenAI_ 3 to 5yrs

CompanyFractal Talent
LocationBengaluru, Pune, Mumbai, Chennai, Hyderabad, Coimbatore, Gurgaon
CategoryData & AI
Seniority-
Workplace-
Posted2026-09-15
Viaworkday

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:

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Design and implement advanced solutions utilizing Large Language Models (LLMs).

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Demonstrate self-driven initiative by taking ownership and creating end-to-end solutions.

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Conduct research and stay informed about the latest developments in generative AI and LLMs.

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Develop and maintain code libraries, tools, and frameworks to support generative AI development.

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Participate in code reviews and contribute to maintaining high code quality standards.

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Engage in the entire software development lifecycle, from design and testing to deployment and maintenance.

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Collaborate closely with cross-functional teams to align messaging, contribute to roadmaps, and integrate software into different repositories for core system compatibility.

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Possess strong analytical and problem-solving skills.

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Demonstrate excellent communication skills and the ability to work effectively in a team environment.

Technical Skills

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

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Computer Vision and Audio: Hands-on experience in image classification, object detection, segmentation, image generation, audio, and video analysis.

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Generative AI:

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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.

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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.

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Cloud: Hands-on experience with cloud platforms such as Azure, AWS, and GCP. Cloud certification is preferred.

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Application Development: Proficiency in Python, Docker, FastAPI/Django/Flask, and Git.

EDUCATION

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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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