[EPM] AI Engineer

The EPM department focuses on software tooling development to support embedded products across the XC domains, including Advanced Driver Assistance Systems (ADAS), Car Multimedia (XC-CM), and Cross-Domain Computing & Software-Defined Vehicle platforms (XC-CE/SDV). We develop tools and engineering solutions that streamline software and system development for technologies such as radar, video, HMI, ultrasonic sensors, vehicle compute platforms, middleware, software integration, CI/CD, and cloud-connected SDV ecosystems.
Serving global teams across Japan, China, Europe, and Vietnam, we contribute to the advancement of secure, safe, intelligent, and software-defined mobility solutions by enabling efficient development, integration, validation, and deployment of next-generation automotive software.
As an AI Engineer, your typical work activities include:
Building and deploying AI-powered applications, working alongside experienced fullstack AI engineers.
Applying AI and machine learning to solve real-world problems.
Assist in the design, development, and testing of AI models and algorithms.
Help build and maintain data pipelines for preprocessing, cleaning, and transforming data for AI applications.
Integrate and deploy machine learning models into production systems using APIs and microservices.
Participate in code reviews and contribute to the team's software development lifecycle.
Collaborate with senior engineers to troubleshoot and optimize AI systems for performance and scalability.
Stay up-to-date with the latest advancements in AI, machine learning, and relevant frameworks.
The job might be fit for you if you have:
Bachelor's degree in Computer Science, AI, or a related technical field.
Strong proficiency in Python is a must. Familiarity with other languages like Java or C++ is a plus.
Solid understanding of machine learning and deep learning concepts, including supervised and unsupervised learning.
Hands-on experience with at least one major AI/ML framework, such as TensorFlow, PyTorch, or Scikit-learn.
Knowledge of SQL and experience with data manipulation libraries like Pandas and NumPy.
Excellent problem-solving and analytical skills.
Strong communication and teamwork abilities.
A keen interest in continuous learning and adapting to new technologies.
Good English communication skills, be able to interact fluently with worldwide stakeholders.

Employment type
Full-time

Work arrangement
No