Physical AI Engineering Consultant - Manager - Consulting

Location

Anywhere in Country

Our Artificial Intelligence and Data team helps apply cutting‑edge technology and techniques to bring solutions to our clients. In this role you will work side‑by‑side with clients and diverse EY teams to advise on and solve challenging problems, often involving novel challenges that have not been solved before. You will research, build, and implement scalable artificial intelligence systems that learn and make predictions tailored to business requirements across various environments, including cloud and on‑premises.

You will enhance data pipelines and storage, ensuring data is clean, accurate, and optimized for XOps processes, and continuously monitor and evaluate learning processes to improve high‑performance models.

• Leading workstream delivery and ensuring effective management of processes and projects.
• Continuously improving processes by identifying innovative solutions through research and analysis.
• Managing professional employees and supervising teams to deliver complex technical initiatives, with accountability for performance and results.
• Engaging actively with clients, participating in daily working sessions, and leading work streams from planning through execution to closure.
• Identifying opportunities for additional services and managing engagement economics.
• Researching and implementing scalable AI systems that meet business requirements.
• Enhancing data pipelines and storage for optimal data accuracy and cleanliness.
• Monitoring and optimizing learning processes to improve high‑performance models.
• Travel to engage with external clients as needed.

• Proven ability to develop solutions to complex problems and recommend changes to policies and procedures.
• Strong judgment in selecting methods and techniques for obtaining results.
• Experience in managing client relationships and delivering high‑quality service.
• Ability to lead teams effectively and manage change within the organization.
• Strong analytical and decision‑making skills to guide project direction.
• Proven experience in project management and tracking deliverable completion.
• Ability to build and maintain relationships with clients and team members.
• Excellent communication skills to convey complex ideas effectively.

• A Bachelor’s degree required (4‑year degree). Focus on Business or Economics, Technology Entrepreneurship, Computer Science, Engineering, Informatics, Statistics, Applied Mathematics, Data Science, or Machine Learning.
• Minimum 5+ years of full‑time experience in Robotics, Digital Twin, and Computer Vision/Deep Learning/Reinforcement Learning.
• Proficiency in programming languages such as Python, C++, or Java, with experience in robotics frameworks (e.g., ROS) and simulation environments.
• Experience designing, building, and maintaining robotics systems and digital twin models.
• Hands‑on experience with NVIDIA Omniverse or similar simulation environments for robotics and digital twin applications.
• Understanding of robotic systems, kinematics, dynamics, and control algorithms.
• Familiarity with creating and managing digital twins, including modeling, simulation, and real‑time data integration.
• Knowledge of machine learning techniques and algorithms, particularly in the context of robotics and automation.
• Proficiency using data manipulation and analysis tools (Pandas, Num Py) to derive insights from sensor data and simulations, and experience with popular ML packages such as Tensor Flow, PyTorch, or similar libraries.
• Extensive experience using Dev Ops tools like GIT, Azure Devops, and Agile tools such as Jira to develop and deploy analytical solutions with multiple features, pipelines, and releases.
• Understanding of Machine Learning (ML) workflows including ingesting, analysing, transforming data and evaluating results to make meaningful predictions.
• Experience with MLOps methods and platforms such as MLFlow.
• Experience with CI/CD practices to automate the testing and deployment of software in Software‑in‑the‑loop (SIL) environments.
• Experience designing, building, and maintaining ML models, frameworks, and pipelines.
• Experience designing and deploying…