Description
The role combines data science, generative AI, model operations, backend and frontend development, and security vulnerability remediation. It involves collaborating with business users, researching AI techniques, preparing data, maintaining deployed models and AI assistants, building APIs and user interfaces, documenting changes, and fixing security issues. The requirements include a bachelor’s degree in a relevant field, knowledge of regression and classification, Python, LLM concepts, context engineering, prompt optimization, Git, SQL, and business intelligence tools, with additional cloud, containerization, full-stack, LLM framework, vector-database, agent, and statistical software experience listed as bonuses.
