The role involves managing a cross-functional team responsible for the design and delivery of AI and Generative AI platforms. The position bridges the gap between data science research and production-grade software engineering. Responsibilities include guiding technical architecture, fostering a culture of scientific excellence, and ensuring that data-driven services are scalable and secure. The manager oversees the development of machine learning workflows and drives the adoption of robust operational pipelines. Additionally, the role requires partnering with various stakeholders to align technical execution with business objectives and client needs.

Candidates must possess at least 8 years of experience in the data or software space, including a minimum of 3 years in a formal people management or technical leadership role. A Bachelor’s or Master’s degree in Data Science, Computer Science, AI, or a related quantitative field is required. The role demands deep expertise in the data science lifecycle, LLM application development, and cloud-native AI services. Furthermore, proficiency in infrastructure, distributed system design, and Agile methodologies is necessary for success in this position.