The role involves defining end-to-end system architecture, including data ingestion, model training, inference, and deployment. The individual will write and review high-quality code while analyzing client needs to meet functional and non-functional requirements. Responsibilities include determining design methodologies, coordinating application development schedules, and leading production rollouts. The position requires conducting proof-of-concept projects to validate suggested technologies and troubleshooting complex technical issues. Additionally, the role focuses on mentoring team members, providing constructive feedback, and fostering a collaborative environment.

Candidates must possess at least seven years of total experience and a bachelor's or master's degree in computer science, information technology, or a related field. The role requires strong programming proficiency in Python or R, along with expertise in machine learning libraries and statistical concepts. Applicants must demonstrate experience with cloud platforms such as AWS, Azure, or GCP, as well as specific knowledge in Generative AI, RAG, and prompt engineering. Furthermore, the position necessitates strong communication skills and the ability to mentor team members effectively.