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Data Scientist/Senior Data Scientist - Gen AI (5 to 10 Years)

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Before you apply
LocationNoida; Bengaluru; Pune; Mumbai; Chennai; Gurgaon
Also inHyderabad
Typefull-time
SenioritySenior
Experience5–10 yrs
Company size1,001–5,000 people
PostedOct 27, 2026 · 1w ago
Verified live2d ago
At a glanceSummarised by Seekless from the posting.
Design and implement advanced solutions utilizing Large Language Models (LLMs)
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
Strong analytical and problem-solving skills
Excellent communication skills and ability to work effectively in a team environment
Hands-on experience in Natural Language Processing (NLP): use case classification, topic modeling, Q&A and chatbots, search, Document AI, summarization, content generation
Hands-on experience in Computer Vision and Audio: image classification, object detection, segmentation, image generation, audio, video analysis
Proficiency with SaaS LLMs including LangChain, LlamaIndex, 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 Hugging Face, techniques such as quantization, LLM finetuning using PEFT, RLHF, data annotation workflow, GPU utilization
Hands-on experience with cloud platforms such as Azure, AWS, and GCP
Proficiency in Python, Docker, FastAPI/Django/Flask, and Git
Cloud certification is preferred
Skills
Python
TensorFlow
PyTorch
Hugging Face
LangChain
Docker
FastAPI
Django
Flask
Git
Azure OpenAI
Google Vertex AI
AWS Bedrock
About the company
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.
About the role
Job Title: Senior Data Scientist
Location: Bangalore/Mumbai/Gurgaon/Chennai/Pune/Noida/Hyderabad
Responsibilities:
•
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.
Primary 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.
AND/OR
•
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.
If you like wild growth and working with happy, enthusiastic over-achievers, you’ll enjoy your career with us!
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