Description

You will prototype, train, and deploy generative AI models for automotive infotainment, driver assistance, and connected car systems.

Responsibilities

• Fine-tune and evaluate generative AI models for voice assistants, driver information systems, and predictive maintenance.
• Develop prompt engineering strategies for natural language-based in-vehicle interactions.
• Preprocess and clean text, audio, and telematics datasets for model training.
• Integrate AI models into infotainment and telematics platforms through cross-functional collaboration.
• Research emerging Gen AI trends to identify automotive use cases like personalized recommendations and AI copilots.
• Document experiments, results, and best practices.

Required Skills

• Proficiency in Python.
• Experience with APIs.
• Hands-on work with Gen AI.
• Knowledge of AWS SageMaker.
• Knowledge of Azure Cognitive Services.
• Software development experience.
• Familiarity with CI/CD and DevOps.
• Database knowledge.
• Bachelor’s or Master’s in Computer Science, Electrical Engineering, Data Science, Artificial Intelligence, or a related field.

Preferred Skills

• Familiarity with embedded systems or automotive software development.
• Academic projects or experience in voice recognition, speech synthesis, or multimodal AI.
• Knowledge of automotive communication protocols such as CAN, LIN, or Ethernet.
• Understanding of functional safety and cybersecurity for automotive AI systems.

Key Skills

Education

Any Graduate