Job Description
Full Stack Data Scientist to develop, deploy, and manage machine learning (ML) and Generative AI (GenAI) models across a range of applications, with a focus on integrating AWS solutions. This role involves designing and optimizing predictive models, creating GenAI-driven applications leveraging large language models (LLMs) and embedding models, and crafting effective prompts and RAG technologies to enhance solution capabilities. The ideal candidate will build user-facing applications with frameworks such as Streamlit (React optional), integrate robust APIs, and design end-to-end ML pipelines and data pipelines to ensure scalability and performance. Additionally, experience with graph databases is essential to support data structure and relationship insights. They should have expertise in cloud infrastructure with AWS, including containerization with Docker and Kubernetes for scalable deployment, and a solid understanding of MLOps practices with CI/CD automation. Strong mathematical and statistical skills, experience with data visualization, and a collaborative approach to working with cross-functional teams are crucial. Familiarity with modern ML, GenAI trends, and hands-on experience in developing cloud-based ML solutions is essential.
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