Role overview
We’re seeking a highly skilled AI/ML Engineer to join our engineering team in USA. his role requires a strong foundation in computer science, statistics, and data science, along with hands-on experience in modern ML frameworks.
What you'll work on
- Develop AI-driven solutions and intelligent agents tailored to automotive applications, leveraging Python, Gherkin, C++, and modern AI/ML frameworks across both front-end and back-end systems.
- Build and implement AI-powered tools to streamline and enhance various stages of automotive testing and validation.
- Integrate and manage large language models (LLMs) such as Llamas, ChatGPT, and Gemini using AWS Bedrock and Amazon SageMaker for inference, deployment, and fine-tuning.
- Fine-tune LLMs and AI models to optimize performance and accuracy for domain-specific automotive use cases.
- Deploy, monitor, and maintain AI systems in production environments, ensuring reliability, scalability, and compliance.
- Collaborate closely with cross-functional teams—including data scientists, HIL testers, and feature owners—to embed AI capabilities into automotive system architectures.
What we're looking for
ML Frameworks: (Example: TensorFlow, PyTorch, Scikit-learn)
Data Management and Analysis: (Example: SQL, Spark, Pandas)
Devops/ Deployment: exposure to Docker or Kubernetes, CI/CD pipeline etc