At SigTuple, we build the next generation AI enabled solutions for healthcare. We build stuff that makes healthcare diagnostics more accurate, more affordable, and more available to the next billion. We build AI models which work not only on curated data sets, but real and noisy data coming from the field. And yes, the cost of a wrong prediction can be very high - people’s life and health are involved!
As the Manager of Data Science Delivery at SigTuple, you will have the onus of building the next generation AI solutions for various domains in healthcare, ranging from different subspecialities in pathology and laboratory medicine, to ophthalmology. You will also have to ensure that these solutions are able to run on the edge devices that we are building, giving out near real time inferences.
Manage and guide 4-5 teams, each working on a specific solution
Provide technical guidance to the teams wherever required
Plan and execute on the deliverables
Long term planning to remain at the edge of technology
Maintain a strong focus on creation of intellectual property and publications in reputed journals/conferences
Collaborate and work in tandem with the Platform Engineering and Robotics teams
B.Tech/M.Tech/Ph.D in Computer Science, Mathematics or related fields from a Tier 1/Tier 2 institution
10+ years of experience
Proven experience in managing diverse teams
Proven experience in taking large scale projects from concept to completion
Thorough understanding of the current landscape in AI, deep learning and machine learning
Experience with the current-state-of-the art in deep learning tools - Tensorflow, PyTorch and the like
Publications in reputed journals and conferences is a good to have