Master’s or PhD in Computer Science, Engineering, Mathematics, Applied Sciences, or a related field preferred. Bachelor's degree required
Strong programming skills in languages such as Golang, Python, Java, or C++, with hands-on experience in relevant frameworks (e.g., TensorFlow, PyTorch, scikit-learn)
Proven experience building multi-agent systems and frameworks with adaptive orchestration
Deep understanding of Jailbreak Detection (e.g., LlamaGuard) and PII masking techniques to ensure safe LLM interactions in regulated environments
In-depth knowledge and understanding of current machine learning algorithms, AI technologies, and platforms
Solid experience in data preprocessing, feature engineering, and model evaluation techniques
Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes) is a plus
Strong knowledge of software development best practices, version control systems, and agile methodologies
Results-driven with a positive can-do attitude and excellent problem-solving skills
Exceptional verbal and written communication skills, with the ability to collaborate effectively with cross-functional teams
Experience in the automotive industry is highly desirable