Data Scientist - Gen AI

As a Data Scientist at our company, you will be responsible for designing and implementing advanced solutions utilizing Large Language Models (LLMs). Your role will involve demonstrating self-driven initiative by taking ownership and creating end-to-end solutions. You will conduct research and stay informed about the latest developments in generative AI and LLMs. Additionally, you will develop and maintain code libraries, tools, and frameworks to support generative AI development. Participating in code reviews and contributing to maintaining high code quality standards will be part of your responsibilities. Engaging in the entire software development lifecycle, from design and testing to deployment and maintenance, is crucial. Collaboration with cross-functional teams to align messaging, contribute to roadmaps, and integrate software into different repositories for core system compatibility is essential. Strong analytical and problem-solving skills, excellent communication skills, and the ability to work effectively in a team workplace are also key aspects of this role. Key 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 workplace Qualifications Required: - Hands-on experience in Natural Language Processing (NLP) with use case classification, topic modeling, QA and chatbots, search, Document AI, summarization, and content generation - Hands-on experience in Computer Vision and Audio including image classification, object detection, segmentation, image generation, audio, and video analysis - 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 - Hands-on experience with cloud platforms such as Azure, AWS, and GCP - Proficiency in Python, Docker, FastAPI/Django/Flask, and Git - Cloud certification is preferred Please note that this job posting has been aggregated from an external source. Role details, content, and availability are subject to change. We advise applicants to confirm the latest information directly on the company website before applying. As a Data Scientist at our company, you will be responsible for designing and implementing advanced solutions utilizing Large Language Models (LLMs). Your role will involve demonstrating self-driven initiative by taking ownership and creating end-to-end solutions. You will conduct research and stay informed about the latest developments in generative AI and LLMs. Additionally, you will develop and maintain code libraries, tools, and frameworks to support generative AI development. Participating in code reviews and contributing to maintaining high code quality standards will be part of your responsibilities. Engaging in the entire software development lifecycle, from design and testing to deployment and maintenance, is crucial. Collaboration with cross-functional teams to align messaging, contribute to roadmaps, and integrate software into different repositories for core system compatibility is essential. Strong analytical and problem-solving skills, excellent communication skills, and the ability to work effectively in a team workplace are also key aspects of this role. Key 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