Time since we first saw it
Day 59
Similar jobs usually come down between day 4 and day 77.
At Fractal, jobs usually come down by about day 45.
From 51 similar postings that came down, and 28 of Fractal’s. Coming down is not always a hire.
Data Scientist_ NLP GenAI_ 3 to 5yrs
Reads like an AI Engineer role: building products on existing AI models.
Bengaluru
Live, first seen by us 59 days ago- 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.
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Sep 15, 202659 days ago
- Recorded sightings
- 77
- Last seen by us
- Nov 13, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Fractal is hiring
28 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Hiring at a steady pace
- Takes jobs down at a usual pace
- 4% of open jobs were reposted
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- AWS
- Azure
- Docker
- GCP
- Django
- FastAPI
- Flask
- Hugging Face
- PyTorch
- TensorFlow
Where the posting names them
- 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.
Your next step
Complete your application on fractal.wd1.myworkdayjobs.com. The employer’s form will show what is required.
Applying through Workday
- You create an account with each employer before you can upload anything. Every Workday employer has its own account, so one sign-up doesn’t carry over.
- “Autofill with Resume” comes right after sign-in, before the My Information and My Experience steps. Check every field it fills in those steps, since that’s what recruiters see.
- Your application status lives in that employer’s Candidate Home, under the same sign-in.
Already applied? Track this application
Demand for AI Engineer roles
New AI Engineer postings at the employers we follow are up 134% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under AI Engineer, by the work the posting describes.
AI engineers build products on top of AI models that already exist, most often large language models: they connect a model to a company's data and tools and ship the assistants, agents and search features people use.
Postings ask for strong Python or TypeScript, experience with model APIs, retrieval and agent frameworks, and ways to test whether the model's answers are good enough.
An ML engineer trains and serves models; an AI engineer usually starts from a model someone else trained and builds the product around it, though titles often mix the two.
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!
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!
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- Location & working pattern
Bengaluru
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