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Senior, niche ML+prognostics role in metro with strong hands-on hardware requirements reduces applicant density.
High because the role requires specialized prognostics, sensor integration, and industrial lab experience tied to hardware systems.
Explicit 8–12 years plus mandatory ML, sensor, DAQ, lab setup, and leadership requirements imply high shortlisting strictness.
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Lead a team of domain experts to develop prognostic and condition monitoring solutions across diversified product portfolios.
Own sensor selection, data acquisition system design, and implementation of condition-based monitoring to predict remaining useful life.
Manage project proposals, infrastructure setup, and cross-functional stakeholder coordination to establish and optimize prognostic capabilities and delivery.
8-12 years of relevant work experience.
Proven experience in condition monitoring for mechanical and electromechanical systems.
Hands-on expertise with AI/ML modeling, sensor technologies (temperature, pressure, strain, vibration, current, noise), DAQ systems, and microcontrollers.
Location requirement: Jigani R&D Lab, Bangalore.
Experienced in managing end-to-end prognostics projects including lab setup, physical experimentation, and solution delivery.
Skilled at interfacing with internal teams and external partners such as universities and research labs for collaborative innovation.
Practitioner capable of translating research insights into scalable, economically viable, and manufacturable solutions with strong program management skills.