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 the development of AI products. Responsibilities include architecting workflows, performing benchmarking, and managing the full lifecycle of AI models from prototyping to production deployment. The specialist guides clients on optimal implementation techniques such as retrieval-augmented generation and fine-tuning. Additionally, the role requires ensuring model performance, security, and compliance with relevant regulations.

Candidates must hold a Master's or Engineering degree in Computer Science, Data Science, Engineering, 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 LLMs and generative AI. Proficiency in Python, cloud platforms, and MLOps principles is mandatory. Additionally, candidates must demonstrate strong communication skills and the ability to explain complex technical concepts to diverse stakeholders.