Data scientist gen ai

2 weeks ago


India Wenger & Watson Full time

Work experience - 4 - 8 yrs Gen AI (2+ yrs). Must have working expereince in Lang Chain, Rag, Transformers, LLM, Open AI. Must have worked on Rag Architecture Transformer fine tuning, etc 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 Saa S LLMs, including Lang chain, llama index, vector databases, Prompt engineering (COT, TOT, Re Act, agents). Experience with Azure Open AI, Google Vertex AI, AWS Bedrock for text/audio/image/video modalities. o Familiarity with Open-source LLMs, including tools like Tensor Flow/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, Fast API/Django/Flask, and Git.



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