Data Scientist Gen AI

2 weeks ago

Kochi, India Wenger & Watson Full time
Work experience - 4 - 8 years

GenAI (2+ yrs). Must have working expereince in LangChain, Rag, Transformers, LLM, Open AI. Must have worked on Rag Architecture Transformer fine tuning, etc

Notice Period - Immediate to 30 days only

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 andLLMs.• Develop and maintain code libraries, tools, and frameworks to support generative AIdevelopment.• Participate in code reviews and contribute to maintaining high code quality standards.• Engage in the entire software development lifecycle, from design and testing todeployment and maintenance.• Collaborate closely with cross-functional teams to align messaging, contribute toroadmaps, 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 teamenvironment.Primary Skills:• Natural Language Processing (NLP): Hands-on experience in use case classification,topic modeling, Q&A and chatbots, search, Document AI, summarization, and contentgeneration.AND/OR• Computer Vision and Audio: Hands-on experience in image classification, objectdetection, segmentation, image generation, audio, and video analysis.• Generative AI:o Proficiency with SaaS LLMs, including Lang chain, llama index, vectordatabases, Prompt engineering (COT, TOT, ReAct, agents). Experience withAzure OpenAI, Google Vertex AI, AWS Bedrock for text/audio/image/videomodalities.o Familiarity with Open-source LLMs, including tools like TensorFlow/Pytorch andhuggingface. 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. Cloudcertification is preferred.• Application Development: Proficiency in Python, Docker, FastAPI/Django/Flask, andGit.

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