Data Scientist_ NLP GenAI_ 3 to 5yrs
- Location
- 7 Locations
- Posted
- Sep 16, 2026
- Last seen
- Oct 12, 2026
About the role
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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