Lead a team of applied scientists and ML engineers in the development and deployment of AI driven customer/internal facing products
Own the full AI/ML lifecycle from prototype to deployment, ensuring the solutions are robust, scalable, and aligned with AI-product needs
Develop technical vision, long-term strategy and set direction for the team and the organization
Essential Requirements:
PhD or Master's degree in Technology, Computer Science, Machine Learning or equivalent quantitative field
10+ years experience of applied science or complex software systems, especially involving deep learning, machine learning, LLMs that have been successfully delivered ; 5+ years in a management role overseeing applied scientists and/or ML/MLOps engineers
Knowledge of ML, NLP, Information Retrieval , Recommender Systems and LLMs
Experience with container & orchestration technologies (Docker, Kubernetes etc) and cloud platforms (AWS, GCP or Azure)
Ability to develop a long-term vision and execute strategies at scale while maintaining a grasp of technical details for better decision-making
Desirable Requirements:
Demonstrated ability to collaborate with team members and pursue innovative projects. Experience in managing end-to-end AI projects including identification of customer needs, problem formulation, solution development, and deployment
Familiarity with state-of-the-art AI techniques, including Retrieval-Augmented Generation and large language models, reflecting current trends and advancements in the field