Physical AI Engineering Consultant - Manager - Consulting
Listed on 2026-04-23
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IT/Tech
Data Analyst, Data Science Manager, Data Engineer
Overview
Location:
Anywhere in Country
At EY, we’re all in to shape your future with confidence. We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world.
AI & Data - Physical AI Engineering Consultant – Manager
The opportunity:
Our Artificial Intelligence and Data team helps apply cutting-edge technology and techniques to bring solutions to our clients. You ll sit side-by-side with clients and diverse teams from EY to create a well-rounded approach to advising and solving challenging problems. You will be engaged in continuous learning to stay ahead of trends and influence new ways of working so you can position solutions in the most relevant and innovative way for our clients.
Expect heavy client interaction in a fast-paced environment and the opportunity to develop your own career path for your unique skills and ambitions.
In this role, 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. Additionally, you will 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.
YourKey Responsibilities
- 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.
- This position may have travel requirements as needed to engage with external clients regularly.
To excel in this role, you will need a blend of technical expertise and strong interpersonal skills. This role will work to deliver tech at speed, innovate at scale and put humans at the center. Provide technical guidance and share knowledge with team members with diverse skills and backgrounds. Consistently deliver quality client services focusing on more complex, judgmental and/or specialized issues surrounding emerging technology.
Demonstrate technical capabilities and professional knowledge. Learn about EY and its service lines and actively assess and present ways to apply knowledge and services.
The following attributes will make a significant impact:
- 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). Focused on Business or Economics, Technology Entrepreneurship, Computer Science, Engineering, Informatics, Statistics, Applied Mathematics, Data Science, or Machine Learning.
- Minimum of 5+ years of full-time working experience in Robotics, Digital Twin, and Computer Vision/Deep Learning/Reinforcement Learning.
- Proficiency in…
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