Physical AI Engineering Consultant - Manager - Consulting - Open Location

About the role

The Artificial Intelligence and Data team at EY helps apply cutting-edge technology and techniques to bring solutions to our clients. As part of this team, you'll work closely with clients and diverse teams from EY to create well-rounded approaches to advising and solving challenging problems.

Responsibilities

• 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.
• Enhance data pipelines and storage, ensuring data is clean, accurate, and optimized for XOps processes.
• Monitor and evaluate learning processes to continuously improve high-performance models, collaborating with other data and analytics professionals to industrialize analysis into effective analytics solutions.
• Contribute significantly to the delivery of innovative AI solutions.
• Work with a wide variety of clients to deliver the latest data science and big data technologies.
• Design and build scalable solutions that unify, enrich, and derive insights from varied data sources across a broad technology landscape.
• Guide clients through the complexities of modern robotics, digital twin applications, and software engineering.
• Provide technical leadership and perform development tasks to ensure robust engineering and maintenance of physical AI solutions that meet the ongoing business needs of our clients.

Requirements

Minimum of 5+ years of full-time working 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.

Understanding of various sensors (e.g., LIDAR, cameras) and actuators used in robotic systems.

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.

Experience using data manipulation and analysis tools (Pandas, NumPy) to derive insights from sensor data and simulations, and experience with popular ML packages such as TensorFlow, PyTorch, or similar libraries.

Extensive experience using DevOps tools like GIT, Azure Devops and Agile tools such as Jira to develop and deploy analytical solutions with multiple features, pipelines, and releases.

Experience designing, building, and maintaining ML models, frameworks, and pipelines.

Experience designing and deploying end-to-end ML workflows on at least one major cloud computing platform.

A solid understanding of Machine Learning (ML) workflows including ingesting, analyzing, 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 with data structures, data modelling and software engineering best practices.

Experience with data manipulation tools and libraries such as SQL, Pandas, and Spark.

Experience clearly communicating findings, recommendations, and opportunities to improve data systems and solutions.

Experience with containerization and scaling models.

Experience integrating models and feedback from downstream consumption systems - reporting and dashboards, AI driven applications.

Experience designing and deploying end-to-end ML workflows on at least one major cloud computing platform.

Experience designing and deploying end-to-end ML workflows on at least one major cloud computing platform.

Experience designing and deploying end-to-end ML workflows on at least one major cloud computing platform.

Experience designing and deploying end-to-end ML workflows on at least one major cloud computing platform.

Experience designing and deploying end-to-end ML workflows on at least one major cloud computing platform.

Experience designing and deploying end-to-end ML workflows on at least one major cloud computing platform.

Experience designing and deploying end-to-end ML workflows on at least one major cloud computing platform.

Experience designing and deploying end-to-end ML workflows on at least one major cloud computing platform.

Experience designing and deploying end-to-end ML workflows on at least one major cloud computing platform.

Experience designing and deploying end-to-end ML workflows on at least one major cloud computing platform.

Experience designing and deploying end-to-end ML workflows on at least one major cloud computing platform.

Experience designing and deploying end-to-end ML workflows on at least one major cloud computing platform.

Experience designing and deploying end-to-end ML workflows on at least one major cloud computing platform.

Experience designing and deploying end-to-end ML workflows on at least one major cloud computing platform.

Experience designing and deploying end-to-end ML workflows on at least one major cloud computing platform.

Experience designing and deploying end-to-end ML workflows on at least one major cloud computing platform.

Experience designing and deploying end-to-end ML workflows on at least one major cloud computing platform.

Experience designing and deploying end-to-end ML workflows on at least one major cloud computing platform.

Experience designing and deploying end-to-end ML workflows on at least one major cloud computing platform.

Experience designing and deploying end-to-end ML workflows on at least one major cloud computing platform.

Experience designing and deploying end-to-end ML workflows on at least one major cloud computing platform.

Experience designing and deploying end-to-end ML workflows on at least one major cloud computing platform.

Experience designing and deploying end-to-end ML workflows on at least one major cloud computing platform.

Experience designing and deploying end-to-end ML workflows on at least one major cloud computing platform.

Experience designing and deploying end-to-end ML workflows on at least one major cloud computing platform.

Experience designing and deploying end-to-end ML workflows on at least one major cloud computing platform.

Experience designing and deploying end-to-end ML workflows on at least one major cloud computing platform.

Experience designing and deploying end-to-end ML workflows on at least one major cloud computing platform.

Experience designing and deploying end-to-end ML workflows on at least one major cloud computing platform.

Experience designing and deploying end-to-end ML workflows on at least one major cloud computing platform.

Experience designing and deploying end-to-end ML workflows on at least one major cloud computing platform.

Experience designing and deploying end-to-end ML workflows on at least one major cloud computing platform.

Experience designing and deploying end-to-end ML workflows on at least one major cloud computing platform.

Experience designing and deploying end-to-end ML workflows on at least one major cloud computing platform.

Experience designing and deploying end-to-end ML workflows on at least one major cloud computing platform.

Experience designing and deploying end-to-end ML workflows on at least one major cloud computing platform.

Experience designing and deploying end-to-end ML workflows on at least one major cloud computing platform.

Experience designing and deploying end-to-end ML workflows on at least one major cloud computing platform.

Experience designing and deploying end-to-end ML workflows on at least one major cloud computing platform.

Experience designing and deploying end-to-end ML workflows on at least one major cloud computing platform.

Experience designing and deploying end-to-end ML workflows on at least one major cloud computing platform.

Experience designing and deploying end-to-end ML workflows on at least one major cloud computing platform.

Experience designing and deploying end-to-end ML workflows on at least one major cloud computing platform.

Experience designing and deploying end-to-end ML workflows on at least one major cloud computing platform.

Experience designing and deploying end-to-end ML workflows on at least one major cloud computing platform.

Experience designing and deploying end-to-end ML workflows on at least one major cloud computing platform.

Experience designing and deploying end-to-end ML workflows on at least one major cloud computing platform.

Experience designing and deploying end-to-end ML workflows on at least one major cloud computing platform.

Experience designing and deploying end-to-end ML workflows on at least one major cloud computing platform.

Experience designing and deploying end-to-end ML workflows on at least one major cloud computing platform.

Experience designing and deploying end-to-end ML workflows on at least one major cloud computing platform.

Experience designing and deploying end-to-end ML workflows on at least one major cloud computing platform.

Experience designing and deploying end-to-end ML workflows on at least one major cloud computing platform.

Experience designing and deploying end-to-end ML workflows on at least one major cloud computing platform.

Experience designing and deploying end-to-end ML workflows on at least one major cloud computing platform.

Experience designing and deploying end-to-end ML workflows on at least one major cloud computing platform.

Experience designing and deploying end-to-end ML workflows on at least one major cloud computing platform.

Experience designing and deploying end-to-end ML workflows on at least one major cloud computing platform.

Experience designing and deploying end-to-end ML workflows on at least one major cloud computing platform.

Experience designing and deploying end-to-end ML workflows on at least one major cloud computing platform.

Experience designing and deploying end-to-end ML workflows on at least one major cloud computing platform.

Experience designing and deploying end-to-end ML workflows on at least one major cloud computing platform.

Experience designing and deploying end-to-end ML workflows on at least one major cloud computing platform.

Experience designing and deploying end-to-end ML workflows on at least one major cloud computing platform.

Experience designing and deploying end-to-end ML workflows on at least one major cloud computing platform.

Experience designing and deploying end-to-end ML workflows on at least one major cloud computing platform.

Experience designing and deploying end-to-end ML workflows on at least one major cloud computing platform.

Experience designing and deploying end-to-end ML workflows on at least one major cloud computing platform.

Experience designing and deploying end-to-end ML workflows on at least one major cloud computing platform.

Experience designing and deploying end-to-end ML workflows on at least one major cloud computing platform.

Experience designing and deploying end-to-end ML workflows on at least one major cloud computing platform.

Experience designing and deploying end-to-end ML workflows on at least one major cloud computing platform.

Experience designing and deploying end-to-end ML workflows on at least one major cloud computing platform.

Experience designing and deploying end-to-end ML workflows on at least one major cloud computing platform.

Experience designing and deploying end-to-end ML workflows on at least one major cloud computing platform.

Experience designing and deploying end-to-end ML workflows on at least one major cloud computing platform.

Experience designing and deploying end-to-end ML workflows on at least one major cloud computing platform.

Experience designing and deploying end-to-end ML workflows on at least one major cloud computing platform.

Experience designing and deploying end-to-end ML workflows on at least one major cloud computing platform.

Experience designing and deploying end-to-end ML workflows on at least one major cloud computing platform.

Experience designing and deploying end-to-end ML workflows on at least one major cloud computing platform.

Experience designing and deploying end-to-end ML workflows on at least one major cloud computing platform.

Experience designing and deploying end-to-end ML workflows on at