Data Scientist_ NLP GenAI_ 3 to 5yrs

Fractal; Bengaluru; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Fractal in Bengaluru is seeking a Data Scientist to design and implement advanced AI solutions using LLMs, with ownership from concept to deployment.

You will work across NLP, CV/audio, cloud platforms, and Python-based tools, collaborating with cross-functional teams to deliver robust generative AI applications.

The ideal candidate demonstrates strong analytical skills, teamwork, and passion for staying updated on Generative AI developments.

Qualifications

• Hands-on experience in NLP use cases like classification, topic modeling, Q&A and chatbots.
• Experience with generation, search, and content summarization in AI pipelines.
• Familiarity with cloud platforms (Azure, AWS, GCP) and ML tooling.

Responsibilities

• Design and implement advanced solutions utilizing Large Language Models (LLMs).
• Take ownership and deliver end-to-end AI solutions.
• Research latest AI developments in generative AI and LLMs.
• Develop and maintain code libraries, tools, and frameworks for generative AI.
• Participate in code reviews to maintain high-quality standards.
• Engage in complete SDLC from design to deployment and maintenance.
• Collaborate with cross-functional teams to align roadmaps and integrate software.
• Demonstrate strong analytical and problem-solving skills.
• Demonstrate excellent communication and teamwork.

Skills

NLP

CV & Audio

Generative AI

Cloud Platforms

Python & APIs

Prompt engineering

Education

B.E./B.Tech./M.Tech in CS or related

Tools

LangChain

LlamaIndex

Vector databases

TensorFlow/PyTorch

HuggingFace

Docker

Git

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.