Machine Learning Architect

4 weeks ago


Bangalore, Karnataka, India Cientra Techsolutions Full time

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 completion

Certifications :

- Product Engineering & relevant tool training qualification

- Quality Management Standards like ASPICE

- Functional Safety standards knowhow and implementation exposure

Minimum 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)

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