Data Scientist/Senior Data Scientist

As a candidate for the position, you will be responsible for the following: - Designing and implementing advanced solutions utilizing Large Language Models (LLMs). - Demonstrating self-driven initiative by taking ownership and creating end-to-end solutions. - Conducting research and staying informed about the latest developments in generative AI and LLMs. - Developing and maintaining code libraries, tools, and frameworks to support generative AI development. - Participating in code reviews and contributing to maintaining high code quality standards. - Engaging in the entire software development lifecycle, from design and testing to deployment and maintenance. - Collaborating closely with cross-functional teams to align messaging, contribute to roadmaps, and integrate software into different repositories for core system compatibility. - Possessing robust analytical and problem-solving skills. - Demonstrating 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, 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 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. - 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. As a candidate for the position, you will be responsible for the following: - Designing and implementing advanced solutions utilizing Large Language Models (LLMs). - Demonstrating self-driven initiative by taking ownership and creating end-to-end solutions. - Conducting research and staying informed about the latest developments in generative AI and LLMs. - Developing and maintaining code libraries, tools, and frameworks to support generative AI development. - Participating in code reviews and contributing to maintaining high code quality standards. - Engaging in the entire software development lifecycle, from design and testing to deployment and maintenance. - Collaborating closely with cross-functional teams to align messaging, contribute to roadmaps, and integrate software into different repositories for core system compatibility. - Possessing robust analytical and problem-solving skills. - Demonstrating 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, 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 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. - 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.