<p>Responsibilities : </p><p><br/></p><p>- Design and implement advanced solutions utilizing Large Language Models (LLMs).</p><p><br/></p><p>- Demonstrate self-driven initiative by taking ownership and creating end-to-end solutions.</p><p><br/></p><p>- Conduct research and stay informed about the latest generative AI and LLMs developments.</p><p><br/></p><p>- Develop and maintain code libraries, tools, and frameworks to support generative AI development.</p><p><br/></p><p>- Participate in code reviews and contribute to maintaining high code quality standards.</p><p><br/></p><p>- Engage in the entire software development lifecycle, from design and testing to deployment </p><p>and maintenance.</p><p><br/></p><p>- Collaborate closely with cross-functional teams to align messaging, contribute to roadmaps, and integrate software into different repositories for core system compatibility.</p><p><br/></p><p>- Possess strong analytical and problem-solving skills.</p><p><br/></p><p>- Demonstrate excellent communication skills and the ability to work effectively in a team environment.</p><p><br/></p><p>Primary Skills : </p><p><br/></p><p>- Natural Language Processing (NLP) : Hands-on experience in use case classification, topic modeling, Q&A and chatbots, search, Document AI, summarization, and content Computer Vision and Audio : Hands-on experience in image classification, object detection, segmentation, image generation, audio, and video analysis.</p><p><br/></p><p>Generative AI : </p><p><br/></p><p>- Proficiency with SaaS LLMs, including Lang chain, llama index, vector databases, and Prompt engineering (COT, TOT, ReAct, agents).
</p><p><br/></p><p>- Experience with Azure OpenAI, Google Vertex AI, AWS Bedrock for text/audio/image/video modalities.</p><p><br/></p><p>- 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.</p><p><br/></p><p>- Cloud : Hands-on experience with cloud platforms such as Azure, AWS, and GCP.
Cloud certification is preferred.</p><p><br/></p><p>- Application Development : Proficiency in Python, Docker, FastAPI/Django/Flask, and Git.</p> (ref:hirist.tech)