Data Scientist- Gen AI

Fractal Analytics; India; On-site; INR 350,000 - 700,000; Full time

Job summary

Fractal Analytics in India seeks a hands-on AI/ML engineer to design and implement advanced solutions using LLMs and generative AI. You will own end-to-end development—from research to deployment—collaborating with cross-functional teams in India.

The role emphasizes strong NLP, CV/audio capabilities, cloud experience, and robust software skills in Python, Docker, FastAPI/Django/Flask, and Git. If you thrive on growth and solving complex problems, join our team.

Qualifications

• Hands-on NLP tasks including classification, topic modeling, Q&A and chatbots.
• Experience in image classification, object detection, and audio/video analysis.
• Proficiency with SaaS LLMs and related tools; familiarity with PEFT and RLHF.

Responsibilities

• Design and implement advanced solutions utilizing LLMs.
• Own end-to-end development from concept to deployment.
• Research generative AI and keep up-to-date with latest trends.
• Develop and maintain code libraries and frameworks for AI development.
• Contribute to code reviews and uphold high quality standards.
• Participate in the full SDLC from design through maintenance.
• Collaborate with cross-functional teams to align messaging and roadmaps.
• Demonstrate strong analytical and problem-solving skills.
• Communicate effectively within a team environment.

Skills

NLP: use case classification, topic &Q

CV & Audio: image/video analysis

Generative AI & LLMs: SaaS LLMs, Lang链

Open-source LLMs: TensorFlow/PyTorch,

Tools

LangChain

LlamaIndex

Vector databases

TensorFlow

PyTorch

HuggingFace

Azure OpenAI

Google Vertex AI

AWS Bedrock

Docker

Git

FastAPI

Django

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.

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:
  • o 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.
  • o 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!