Responsibilities :
- Lead the AIPS East team to operational excellence by managing daily operations, optimizing resource allocation, and ensuring timely delivery across AI infrastructure and application pillars.
- Support Generative AI adoption in healthcare by providing technical assistance to Discovery and Enablement teams, enabling rapid solution development.
- Define and communicate AI product vision and roadmaps aligned with business goals, collaborating with stakeholders to ensure high-impact development.
- Mentor junior team members, fostering a learning-oriented, collaborative, and high-performance culture within the AI team.
- Ensure seamless integration of AI solutions into enterprise systems, coordinating with technical leads and business stakeholders.
- Actively participate in planning and executing AI-powered applications, ensuring quality, budget adherence, and timely delivery.
- Identify and mitigate technical risks, address project roadblocks, and ensure projects deliver expected business outcomes.
About the AI Platforms and Services (AIPS) Team :
Functions as an internal service provider delivering AI infrastructure and solutions.Comprises four pillars : Secure AI Platforms, AI Applications, Foundational Components, and Integration Services.Collaborates with business units to identify AI opportunities, design, and implement solutions.Maintains a collaborative, innovative, and growth-focused team culture.Supports professional development via training and knowledge-sharing.Qualifications :
Bachelor's in Computer Science, Engineering, or related technical field.7-9 years in data science, software engineering, or related roles, with at least 2 years in technical leadership.Strong proficiency in Python and libraries such as TensorFlow, PyTorch.Experience with cloud platforms (Google Cloud, AWS, Azure).Proven success in leading complex AI / ML projects.Familiarity with Agile methodologies and tools like Jira.Strong understanding of AI / ML, including Generative AI, with the ability to evaluate different models and approaches.Skills Required
Tensorflow, Pytorch, Python