Machine Learning Architect

Role :- Development of ML Algorithms for ADAS Perception Features - Lane detection, Object detection, Drivable areas, Classification- RADAR Perception Software Validation using Synthetic data & real sensor data- Orchestration of RADAR based Container with ML Algorithms- Developing applications compliant to AUTOSAR, ASPICE & FuSa topics- Handson execution of complete development & testing for ADAS, Driver Assistance ECUs- Involvement in Requirement decomposition from Customer Requirements - Develop design both Model based / High Level / Low Level derived from Requirements- Coding for ADAS, Driver Assistance ECU features for the Target Vehicle including Variants- Develop Test spec at Unit, Integration and SW Component levels- Involvement in AI Model processing for tuning, testing both in simulated & target hardware- Execution of SIL, HIL and PIL testing- Experience and proficient in using relevant lifecycle tools DOORs, CodeBeamer, Jama, EA, Matlab, IDE, TESSY, TPT (one or more in each phase)- Handson expertise in different communication protocols CAN, LIN, ETHERNET, SPI, UART- Development, configuration and testing of AUTOSAR MCAL Drivers for 2 or more Microcontrollers using relevant tools like DaVinci, EBTresos (one or both)- Work Independently and enable team by driving Technical reviews- Quality Management exposure and adherence to ASPICE during project executions- Implementation of adherence to Functional Safety requirements - Team player and able to collaborate with the members to realise project technical objectives- Inbuilt capability to effectively communicate with diverse stakeholders including Top Management- Consistently assess and determine risks, develop mitigation strategies and communication to internal and external key stakeholders- Co-ordination multi-site and multi-discipline teams to successful project completionCertifications :- Product Engineering & relevant tool training qualification- Quality Management Standards like ASPICE- Functional Safety standards knowhow and implementation exposureMinimum Qualifications :- Bachelor's degree in E & C Engineering or related field.Preferred Qualifications :- Master's degree in E&C Engineering or related field. (ref:hirist.tech)