Bangalore
Overview of group:
Technology group drives and supports the development and innovation of various Interiors products from the feasibility study through to a prototype development. Besides product development, the group also leads various methodology development activities within Interiors. The team is continuously engaged in projects on diverse domains like Mechanical & Electro-Mechanical designs, Structures and Fluid simulation, Interaction studies, System Engineering, Materials, Processes, and Automation etc.
Position: Senior Lead Engineer (P3)
Primary Responsibilities:
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Conduct and manage research and development projects focused on PHM and RUL estimation using ML for a variety of different application areas within Interiors.
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Analyze the function and performance of electro-mechanical systems including failure modes and features contributing them using sensor fusion.
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Develop models and algorithms to assess the condition and classify the health of electro-mechanical systems
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Develop status and RUL dashboards using Azure data analytics tools
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Research and develop advanced algorithms for image/video processing and computer vision, e.g. denoising, deblurring, HDR, detection, segmentation, etc
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Develop physics-based simulation models using Simulink and Simscape to build digital twin of electro-mechanical systems and simulate faults for PHM.
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Lead projects from conception to final product, as a sole contributor.
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Explore the latest technologies and propose innovative ideas.
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Support or lead development of technology proposals for funding.
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Prepare and present / publish research results
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The candidate should be comfortable with empirical lab or field work, as well as with simulation and modeling tools.
Basic Qualifications:
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4-6 years of relevant Industry experience in PHM and Machine Learning for supervised and unsupervised learning datasets, signal processing and conditioning, Image Processing/computer vision and Deep Learning, Azure Data analytics
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Bachelor’s/Master’s degree in Mechatronics/Electronics or closely related field.
Primary Skills:
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Minimum 2-3 years of work experience related to development and implementation of PHM using ML techniques.
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Expertise or experience in object-oriented, analytical programming (e. g., Python, R, Matlab) and simulation tools (Simulink and Simscape)
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Deep learning for image processing and classification using Neural Networks
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Experience working on Azure Data Analytics like Data Explorer, Lake Analytics, creating meaningful dashboards
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Experience working on various diagnostic instrumentation and basics of NI LabView programming
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Basic knowledge of electro – mechanical components like motor, actuators, electric valves, sensors such that pressure, temperature, voltage, current and data acquisition.
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Clearly articulate thoughts and ideas to external and internal customers. Responsive to questions; issues; and needs in a timely manner.
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Strong written and verbal communication skills
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Confident presentation skills
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Manage changing or shifting priorities.
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Drive for results. Work effectively with cross-functional teams
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Requires good judgement, planning and organizational skills
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High work standards; energy; initiative; flexibility; decisiveness; and proven problem-solving skills
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