Senior AI Engineer

Senior AI Engineer

As a Senior AI Engineer, you'll be critical to the design, development, and deployment of advanced AI and machine learning models that drive performance improvements and operational efficiency within our Technical team. With an emphasis on AI model development, optimization algorithms, and scalable pipelines, the Senior AI Engineer will work across teams to implement high-impact AI solutions.

This role requires significant experience in developing, training, and operationalizing complex AI models, as well as mentoring junior engineers and driving technical excellence.

You will collaborate on specific projects across various departments (e.g., Aero Development, Vehicle Dynamics and Performance, Operations and other functions).

Key Objectives:

• Lead the execution of AI models, algorithms, and pipelines, ensuring their successful deployment across vehicle performance, race strategy optimization, and operational decision-making.
• Design, develop, and train cutting-edge AI models, including deep learning and reinforcement learning models, to deliver advanced performance insights.
• Ensure robust and scalable machine learning pipelines for real-time simulation, data fusion, and optimization of vehicle dynamics.
• Oversee the implementation of AI-driven anomaly detection and predictive analytics models to enhance vehicle performance and operational efficiencies.
• Mentor and guide junior AI engineers, promoting technical excellence and knowledge-sharing within the team.
• Drive the exploration and adoption of new AI technologies and techniques (e.g., transformers, LLMs), ensuring the team stays at the forefront of the latest developments.

Skills, Knowledge and Experience:

• Extensive experience in developing and deploying complex AI and machine learning models, including deep learning and reinforcement learning approaches.
• Strong knowledge of AI and data technologies, with expertise in Python (TensorFlow, PyTorch, Scikit-learn) and C++ as a plus.
• Demonstrated experience in developing scalable AI pipelines and integrating models into real-time systems.
• Experience with LLMs, model interpretability, and explainable AI techniques.
• Proven track record of managing and executing multiple high-impact AI projects, balancing delivery speed with quality.
• Ability to communicate complex AI concepts to both technical and non-technical stakeholders.