AIML Engineer
Job Location:
Monthly Salary:
Posted on:
9 hours ago
Posted on:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
Key Responsibilities
Develop and optimise AI/ML models for embedded deployment
Work with frameworks: TensorFlow Lite / ONNX / PyTorch
Optimise for CPU / GPU / NPU acceleration
Handle Image processing sensor data pipelines
Integrate and optimize AI/ML inference into embedded edge
Collaborate with firmware & Linux teams for integration
Analyse and optimize Models for accuracy and performance
Collaborate with hardware teams for board bring-up
Key Skills
Strong Python and related libraries
Strong AI/ML basics Image processing Image compression Model training
Strong experience with Model optimisation Accuracy and its performance on edge system
Experience with: Edge hardware (MPU/MCU/NPU etc.)
Image recognition Image processing Object Detection
Knowledge of using HW acceleration techniques (NPU AI DSP)
Integrate AI/ML model in embedded system and optimization
Experience Developing Building Validating deploying and optimizing neural-network models
for embedded targets (TensorFlow Lite ONNX Runtime).
Interface AI toolchains
Basic Understanding of embedded C programming Linux RTOS Concept
Support scenario testing for vibration noise variable lighting weather and fast motion typical
of 2-wheelers functional and performance validation.
Cross Function Collaboration (Embedded MATLAB HW Testing team)
Unit test Integration Test Function test
Adhere to automotive development standards (MISRA ASPICE) as required.
