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
What you’ll work on
Full postingDesign 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 qualificationsCore 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
Report an error- 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
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Your next step
- Have your resume and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the pay range before committing time to the process.
Complete your application on fractal.wd1.myworkdayjobs.com. The employer’s form will show what is required.
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Job 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!
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Source details
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- Pay
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- Location & working pattern
Bengaluru
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- Work authorization
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