Job Description

Development of AI/ML based solutions for OE and Non OE customer projects 1) Understand different vehicle/engine/ system configurations and formulating Prognostics use case for delivering solutions for different projects 2) Design Of Experiments preparation for data collection from vehicles 3) Instrumentation and Vehicle measurements on internal and customer vehicle 4) Identify relevant data for a use case and work on preprocessing of structured and unstructured data 5) Analyzing large amounts of data to discover trends and patterns 6) Build predictive models and machine-learning algorithms 7) Represent data analyzed using data visualization techniques 8) API creation and validation & on-boarding Qualifications Master / Bachelor\'s in Data Science, Computer Science, Statistics or a relevant field. Additional Information 1) Good knowledge on automotive systems and components ( ICE , EV and hybrids ) 2) Good knowledge of Engine management system, calibration and Diagnostics 3) In depth knowledge of digital and analog electronics (circuits) 4) In depth knowledge on simulation of electrical networks 5) Experience in Data analytics and Machine learning concepts 6) Experience in Python or R programming language 7) Very good understanding of different measurement tools and techniques 8) Good knowledge on tools like Inca, canalyzer, Diagra 9) Ability to think out of the box 10) Aptitude for in-depth technical tasks 12) Good analytical reasoning ability 13) Good knowledge of Quality Systems and Tools like FMEA, 8D, etc Desirable: 1) Algorithms : Deep learning algorithms. CNN, RNN.. Libraries : Flask, Apache Spark Database : MongoDB, MySQL.. Added advantage if the candidate has : 1) Good overview on AWS cloud for API development 2) Basic knowledge on DevOps 3) Basic knowledge on Docker and Kubernetes containers

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