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Fractal

Data Scientist- Gen AI

Reposted 7 Days Ago
In-Office
Pune, Mahārāshtra, IND
Entry level
In-Office
Pune, Mahārāshtra, IND
Entry level
Designs and implements end-to-end generative AI and LLM solutions, researches emerging AI techniques, develops supporting libraries and frameworks, and participates in software delivery from design through maintenance. The role applies NLP, computer vision, audio, and multimodal AI methods; uses cloud and open-source platforms; contributes to code reviews and roadmaps; and collaborates with cross-functional teams.
The summary above was generated by AI

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!

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