Job Requirements

We are looking for an experienced AI/ML Engineer to design, develop and deploy machine learning algorithms on embedded platforms for the next generation automotive infotainment systems. This engineer will work on Android / Linux based applications that will process various sensor data and external input at real-time to predict various vehicle conditions and adjust vehicle operations accordingly.

 

Roles & Responsibilities:

 

Design, train, and optimize AI/ML models for real-time, edge-based deployment.Work with multi-modal data sources (audio, vision, sensor, telematics) to build robust AI systems.Develop end-to-end pipelines for data preprocessing, model training, evaluation, and deployment.Implement algorithms optimized for embedded and resource-constrained platformsValidate AI models with real-world automotive sensor datasetsPerform model optimization (quantization, pruning) for deployment on embedded SoCsCollaborate with system architects, Application developers, and automotive domain experts to ensure end-to-end functionalityStay up to date with AI/ML advancements and automotive industry trends

Work Experience

Required Skills (Technical Competency):

4–5 years of proven development experience in AI/ML for embedded deviceStrong expertise in deep learning frameworks (TensorFlow, PyTorch, ONNX).Practical experience with edge/embedded AI (NVIDIA Jetson, Qualcomm, ARM).Proficiency in NLP / Conversational AI / Speech interfaces ( ASR, TTS )Solid programming skills in Python and C++/Java for optimization and integration.Solid understanding of application development in embedded Linux / AndroidFamiliarity with automotive standards, protocols such as CANGood communication skills and great team spirit

Desired Skills:

Experience working with embedded Linux, Automotive AndroidKnowledge of vehicle data interfaces (CAN, OBD-II, sensors).Exposure to MLOps pipelines and cloud platforms (AWS/GCP/Azure).