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 Principal Computer Scientist, Data Science, at SigTuple, you will be working the next generation AI solutions for various domains in healthcare, ranging from different subspecialities in pathology and laboratory medicine, to ophthalmology. You will be building new products from scratch, exploring hitherto untrodden paths, using the bleeding edge techniques in AI and ML. You need to keep abreast with the latest and greatest in AI.
You will work in tandem with our Data Science solutions team, the platform engineering team and the Robotics devices teams. This is an individual contributor (IC) role.
Research, design and develop innovative products in the healthcare space using the latest techniques in AI and machine learning
Provide technical guidance to the Data Science teams wherever required
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
8+ years of experience in machine learning and data analysis
Proven experience in building innovative AI based solutions in various domains
Proven experience in taking large scale projects from concept to completion
Thorough understanding of the current landscape in AI, deep learning and machine learning
Hands on experience with the current-state-of-the art in deep learning tools - Tensorflow, PyTorch and the like
Hands on experience in at least one of the following programming languages - C, C++, Python
Publications in reputed journals and conferences, or contribution to open source libraries