Time since we first saw it
Day 17
Similar jobs usually come down between day 8 and day 60.
At Fractal, jobs usually come down by about day 45.
From 11,783 similar postings that came down, and 28 of Fractal’s. Coming down is not always a hire.
Employment type in the employer’s posting: Full timeFrom the employer’s posting
Design and implement advanced solutions using Large Language Models
Take ownership of end-to-end solutions with self-driven initiative
Research the latest developments in generative AI and LLMs
Build and maintain code libraries, tools and frameworks for generative AI
Work across the software lifecycle from design and testing to deployment
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.
Engage in the entire software development lifecycle, from design and testing to deployment and maintenance.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 17
Similar jobs usually come down between day 8 and day 60.
At Fractal, jobs usually come down by about day 45.
From 11,783 similar postings that came down, and 28 of Fractal’s. Coming down is not always a hire.
28 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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.
- 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!
- 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.
- 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.
- 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.
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New Data Scientist postings at the employers we follow are down 4% 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.
We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
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We're committed to bringing passion and customer focus to the business.
Job Title: Senior Data Scientist
Location: Bangalore/Mumbai/Gurgaon/Chennai/Pune/Noida/Hyderabad
Responsibilities:
Primary Skills:
AND/OR
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!
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Noida
Working pattern and location restrictions need checking in the full posting.
No clear work-authorization passage found. Eligibility is unconfirmed.