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 model performance, security, and scalability. The position requires conducting benchmarking, prototyping, and validation to support client needs. Additionally, the role involves staying current with technological advancements and contributing to internal knowledge sharing.

Candidates must hold a Master's or Engineering degree in Computer Science, Data Science, or a related quantitative field. The role requires one to three or more 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 essential for collaborating with diverse stakeholders.