Solving for cutting edge use cases in the healthcare domain ranging from improving our computer vision technology to personalizing our digital PT platform using AI/ML technologies
Build a healthcare-compliant data lake for hinge health on AWS that meets the needs of our ever-growing list of AI/ML solutions.
Leveraging extensive experience and thought leadership, lead the design and architecture of large-scale, company-wide platform projects.
High and widespread confidence to make changes, based on alignment around well-defined principles (cf 12 factors) and clear visualizations (of both present and future states).
Set up scalable production processes to identify the drift of ML solutions and intervene at the right moment.
Work collaboratively across science and engineering teams to set up robust AI/ML compute infrastructure for training and evaluation, and real-time services for latency-sensitive applications.
Play a defining role in growing the engineering talent, through mentorship and guidance, matching career goals to business objectives, whether from within the company or hiring external talent.
The author thought papers on the use of AI/ML in the healthcare space, present to company leadership as well as the engineering and product organizations, and drive the technical vision in the AI/ML engineering space
Requirements & Skills:
Bachelor’s degree in Computer Science, Engineering, Mathematics or Physics
12+ years of non-internship full-time professional software development experience
4+ years of experience working on AI and ML related projects
4+ years of experience in designing and working in distributed systems based architecture, developing APIs and implementing scalable backend systems
Extensive experience in mentoring and leading junior team members, collaborating effectively with cross-functional teams, and contributing to project planning and decision-making
Master’s Degree in Computer Science, Engineering, Mathematics or Physics
Expertise with the AI/ML ecosystems at the PhD level and equally with Product managers and executive leadership teams to ensure iterative progress in a fast-paced environment
Experience working with Healthcare/Personally Identifiable (PII) Data, and building healthcare compliant (HIPAA) data lakes
Strong expertise with distributed Architecture, with deep exposure to API design & versioning, domain-driven design, event-driven systems, and microservices that serve both web and mobile frontends
Experience with high Availability Systems, with strong point of view about telemetry, self-healing systems, buffers and queues, idempotency, disposability, and multi-tenancy
Strong ownership and self-driven, with a passion for making a difference in the healthcare field. The ideal candidate is a self-starter, working to identify opportunities and problems to solve and match them with technology solutions from the industry, working effectively to address technical risks. At the same time, can work with senior leadership to outline the company’s strategic investments in AI initiatives
