The role involves designing and implementing generative AI and large language model solutions across various industries. The specialist acts as a bridge between technical teams to deliver business-centric value through techniques such as retrieval-augmented generation and model fine-tuning. Responsibilities include architecting robust AI products, managing the full AI workflow, and ensuring seamless model integration for performance and scale. The position requires developing applications that comply with regulatory standards while balancing technical complexity with user experience. Additionally, the role involves conducting rigorous performance evaluations and staying current with advancements in generative AI technologies.

Candidates must possess a Master's or Engineering degree in Computer Science, Data Science, or a related quantitative field. The role requires one to three years of hands-on experience in machine learning, software engineering, or data science, specifically involving complex projects with large language models. Proficiency in Python and experience with cloud platforms and MLOps principles are mandatory. Strong analytical, problem-solving, and communication skills are also required to effectively collaborate within cross-functional teams.