Physical AI Engineering Consultant - Senior - Consulting - Open Location

About the role

Join EY and help to build a better working world. As a Senior AI Native Engineer, you will be at the forefront of revolutionizing how businesses leverage artificial intelligence. Your role will involve researching, building, and implementing scalable AI systems that learn and make predictions tailored to diverse business environments, whether in the cloud or on-premises. You will enhance data pipelines to ensure data integrity and optimize learning processes, all while collaborating with a talented team of data and analytics professionals.

Responsibilities

• 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.
• Guiding clients through the complexities of modern robotics, digital twin applications, and software engineering.
• Providing technical leadership and performing development tasks to ensure robust engineering and maintenance of physical AI solutions that meet ongoing business needs of our clients.
• Spending time on key responsibilities that include:
• Designing and building scalable solutions that unify, enrich, and derive insights from varied data sources across a broad technology landscape.
• Collaborating with diverse teams from EY to deliver the latest data science and big data technologies.
• Engaging with clients in a fast-paced environment to deliver innovative AI solutions.
• Developing and maintaining robotics systems and digital twin models.
• Using NVIDIA Omniverse or similar simulation environments for robotics and digital twin applications.
• Understanding robotic systems, kinematics, dynamics, and control algorithms.
• Working with various sensors and actuators used in robotic systems.
• Creating and managing digital twins, including modeling, simulation, and real-time data integration.
• Implementing machine learning techniques and algorithms, particularly in the context of robotics and automation.
• 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.
• Utilizing DevOps tools like GIT, Azure Devops and Agile tools such as Jira to develop and deploy analytical solutions with multiple features, pipelines, and releases.
• Designing, building, and maintaining ML models, frameworks, and pipelines.
• Designing and deploying end-to-end ML workflows on at least one major cloud computing platform.
• Understanding data structures, data modeling, and software engineering best practices.
• Proficiently using data manipulation tools and libraries such as SQL, Pandas, and Spark.
• Communicating findings, recommendations, and opportunities to improve data systems and solutions clearly.
• Integrating models and feedback from downstream consumption systems - reporting and dashboards, AI driven applications.
• Proficient in deep learning techniques.
• Having a strong foundation in mathematics, statistics, and operations research.
• Experience with machine learning algorithms and data architecture design.
• Familiarity with cloud computing and technical design optimization.
• Knowledge of natural language processing and image processing techniques.
• Understanding of continuous integration and deployment methodologies.
• Experience in scaling models for various applications.
• Strong mathematical and quantitative skills including calculus, linear algebra, and statistics.
• Willingness to travel to meet client obligations.

Qualifications

• A Bachelor’s degree required (4-year degree).
• Bachelor's degree and 3-6 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.
• Proficiency 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.
• A solid 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 end-to-end ML workflows on at least one major cloud computing platform.
• A strong foundation in mathematics, statistics, and operations research.
• Experience with machine learning algorithms and data architecture design.
• Familiarity with cloud computing and technical design optimization.
• Knowledge of natural language processing and image processing techniques.
• Understanding of continuous integration and deployment methodologies.
• Experience in scaling models for various applications.
• Strong mathematical and quantitative skills including calculus, linear algebra, and statistics.
• Willingness to travel to meet client obligations.

Skills and attributes for success

• 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.
• 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.

Pay

The base salary range for this job in all geographic locations in the US is $106,200 to $194,600. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $127,400 to $221,100. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography.

Schedule

We offer a flexible vacation policy where you’ll decide how much vacation time you need based on your own personal circumstances. You’ll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being.