Data Scientist Gen Ai

1 month ago

hyderabad, India Wenger & Watson Full time

Work experience - 4 - 8 yrs

GenAI (2+ yrs). Must have working expereince in LangChain, 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 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.

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