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About the role
- 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 solid analytical and problem-solving skills. - Demonstrate excellent communication skills and 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. - 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 Langchain, 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 and tools like TensorFlow/PyTorch and Hugging Face. - Techniques such as quantization, LLM fine-tuning 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. - Tech Skills (10+ Years Experience) - Machine Learning (ML) & Deep Learning .
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