EHC_Architect – Product Development (Medical device)
Bosch
Bengaluru, KA, in
6d ago

Job Description

Role : You will be responsible for design and development of medical devices in the area of medical imagining, bio-signal processing and non-invasive diagnostics.

You will collaborate by leading multidisciplinary teams from microelectronics, embedded, mechanical and clinical fraternity to ground up conceptualize and build these products using innovative technologies and next-gen connected solutions.

Responsibilities :

  • Lead end-to-end product development collaborating with engineering functions
  • Lead in developing connected health architectures (edge to cloud deployments)
  • Provide technically sound recommendations for cost, performance, reliability, security and operational efficiency of the product and implement them
  • Collaborate with Medical practitioners by understanding clinical challenges and support in developing technology enabled solutions to address them
  • Collaborate with various functions like Product Strategy, Clinical Practitioners, Sales and Marketing team to arrive at the best market and customer fit offerings
  • Provide thought leadership around the use of industry standard tools and models by leveraging experience and current industry trends.
  • Must Have :

  • Core technologist with strong problem solving and thinking skills
  • Good interpersonal communication with ability to collaborate with Business Leaders, Data scientist, Data Engineers, Functional teams, Vendors and Information Technology teams
  • Knowledge of relevant connectivity technologies, tools and frameworks - AWS, Azure
  • Qualifications

  • Bachelors / Masters / PhD in Bio-Medical / Medical-Electronics engineering
  • 10-12 years of professional work experience with demonstrated credentials in the field of medical device development topics.
  • Hands-On experiences in AI / ML development, platforms, Deep Learning, ML Operations in distributed environments. Knowledge of pure / applied math, frameworks such as TensorFlow and CAFFE, techniques such as random forest and neural networks.
  • Deadline driven, self-motivated and result-oriented
  • Additional Information

  • Experiences working in Digital pathology, medical imaging, non-invasive techniques
  • Intellectual Property (IP) filings and Publications (first-authored, peer-reviewed publications) in leading scientific journals
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