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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.

The opportunity

Our AI, Data & Engineering team helps apply cutting edge technology and techniques to bring solutions to our clients. As part of that, 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, some of which have not been solved before. No two days will be the same, and with constant research and development, you'll find yourself building knowledge that can be applied across a wide range of projects now, and in the future. You'll need to have a passion for continuous learning, stay ahead of the trends, and influence new ways of working so you can position solutions in the most relevant and innovative way for our clients. You can 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 AI, machine learning, generative AI, and agentic systems that learn, reason, and generate outputs 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.

Your key responsibilities

As a Manager in Model Engineering, you will play a pivotal role in delivering innovative solutions that drive business success. You will work with a wide variety of clients to deliver modern AI engineering, machine learning, and generative AI technologies. Your teams will design and build scalable solutions that unify, enrich, and derive insights from varied data sources across a broad technology landscape. You will help our clients navigate the complex world of modern data science, analytics, and software engineering. We'll look to you to provide guidance and perform technical development tasks to ensure AI solutions are responsibly engineered, evaluated, deployed, and maintained to support the ongoing business needs of our clients.

You will be joining a dynamic and interdisciplinary team of scientists and engineers who love to tackle the most challenging computational problems for our clients. We love to think creatively, build applications efficiently, and collaborate in both the ideation of solutions and the pursuit of new opportunities. Many on our team have advanced academic degrees or equivalent experience in industry.

Your responsibilities will include:

+ Leading AI workstreams from solution design through production deployment and ongoing optimization.

+ Continuously improving processes by identifying innovative solutions through research and analysis.

+ Managing multidisciplinary teams to deliver complex AI engineering initiatives, with accountability for quality, responsible deployment, and results.

+ Engaging actively with clients, participating in daily working sessions, and leading workstreams from planning through execution to closure.

+ Identifying opportunities for additional services and managing engagement economics.

Skills and attributes for success

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.

To qualify for the role, you must have:

1. A Bachelor's degree required (4-year degree).

2. 6-10 years of relevant experience of full-time working experience in AI, Data Science, and/or Machine Learning

3. 2-4 years of experience directly managing technical teams

4. Strong skills in Python

5. Ability lead, collaborate, and communicate effectively with diverse, hybrid and global teams

6. Experience designing, building, and maintaining high-impact, high-value production AI/ML solutions on a major cloud platform

7. Proficient in foundation models, generative AI, and agentic AI frameworks (e.g., OpenAI, Dall-e, Langchain, Retrieval Augmented Generation (RAG)) and experienced with ML packages like scikit-learn and PyTorch

8. Experience with natural language processing and deep learning

9. Extensive experience in DevOps tools (GIT, Azure DevOps), Agile methodologies (Jira), and CI/CD pipelines for developing, deploying, and scaling analytical solutions

10. Experience with MLOps, LLMOps, and AgentOps and ML workflows, including data ingestion, transformation, and evaluation

11. Experience with model retraining and feedback loop methodologies

12. Experience with model and solution evaluation, observability, monitoring, and reporting

13. Understanding of data structures, data modeling, software engineering, and Responsible AI practices

14. Strong foundation in mathematics, statistics, and operations research, with proficiency in data manipulation tools (SQL, Pandas, Spark) and deep learning techniques

15. Excellent communication skills for conveying findings and recommendations, with a willingness to travel for client engagements

16. Skills in Technical Design Optimization

17. Strong relationship-building skills

18. Demonstrated client trust and value

19. Digital fluency and emotional agility

20. Commercial acumen and negotiation skills

21. Proven ability to lead teams and manage change

Ideally, you'll also have:

+ A deep understanding of and ability to teach concepts, tools, features, functions, and benefits of different approaches to apply them

+ Master's degree Computer Science, Mathematics, Physical Sciences, or other quantitative field

+ Experience working with diverse teams to deliver complex solutions

+ Strong skills in languages beyond Python: R, JavaScript, Java, C++, C

+ Experience fine-tuning Generative AI models

+ Experience in m...

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AI & Machine Learning Engineering Consultant - Manager - Consulting - Location OPEN