Data Scientist- Gen AI

Fractal; Bengaluru; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

Fractal in Bengaluru is seeking an AI/ML software engineer to design and implement advanced solutions using Large Language Models (LLMs), NLP, CV, and generative AI. You will own end-to-end development from concept through deployment, contribute to code reviews, build reusable libraries, and collaborate with cross-functional teams to integrate software across repositories and core systems.

Strong analytical, communication, and teamwork skills are essential as you stay current with AI research

Qualifications

• Experience building LLM-based solutions and demos.
• Hands-on NLP, CV, and generative AI use cases.
• Proficiency with Python, Docker, and REST frameworks.
• Familiarity with cloud platforms (Azure, AWS, GCP).
• Ability to work in cross-functional teams.
• Strong analytical and problem-solving skills.

Responsibilities

• Design and implement advanced solutions utilizing Large Language Models (LLMs).
• Own end-to-end development from concept to deployment.
• 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 maintain high code quality standards.
• Engage in the software development lifecycle from design to maintenance.
• Collaborate with cross-functional teams to align roadmaps and integrate software.
• Possess strong analytical and problem-solving skills.
• Demonstrate excellent communication and teamwork.

Skills

LLM development

NLP

Computer Vision

Generative AI

Prompt engineering

Python

Docker

Git

Team collaboration

Tools

LangChain

LlamaIndex

Vector databases

TensorFlow/PyTorch

HuggingFace

Azure OpenAI

AWS Bedrock

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!