AI / ML Engineer-Automotive

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 platforms
• Validate AI models with real-world automotive sensor datasets
• Perform model optimization (quantization, pruning) for deployment on embedded SoCs
• Collaborate with system architects, Application developers, and automotive domain experts to ensure end-to-end functionality
• Stay up to date with AI / ML advancements and automotive industry trends

Work Experience

Required Skills (Technical Competency) :

Desired Skills

Skills Required

Embedded Linux, Tensorflow, Nlp, Pytorch, TTS, Python, Aws, ASR, Java, AI ML, Can, Android, Gcp, MLops, Arm, Azure