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

March 7, 2026

About the position Our Artificial Intelligence and Data 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 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. As a Manager in AI Native 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 the latest data science and big data 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 data science solutions are properly engineered 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. Responsibilities • Leading workstream delivery and ensuring the 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 workstreams from planning through execution to closure. • Identifying opportunities for additional services and managing engagement economics. Requirements • A Bachelor's degree required (4-year degree). • 6-10 years of relevant experience of full-time working experience in AI, Data Science, and/or Machine Learning • 2-4 years of experience directly managing technical teams • Strong skills in Python • Ability lead, collaborate, and communicate effectively with diverse, hybrid and global teams • Experience designing, building, and maintaining high-impact, high-value production AI/ML solutions on a major cloud platform • Proficient in Generative AI models and frameworks (e.g., OpenAI, Dall-e, Langchain, Retrieval Augmented Generation (RAG)) and experienced with ML packages like scikit-learn and PyTorch • Experience with natural language processing and deep learning • Extensive experience in DevOps tools (GIT, Azure DevOps), Agile methodologies (Jira), and bolthires/CD pipelines for developing, deploying, and scaling analytical solutions • Experience with MLOps and ML workflows, including data ingestion, transformation, and evaluation • Experience with model retraining and feedback loop methodologies • Experience with model and solution monitoring and reporting • Understanding of data structures, data modelling and software engineering best practices • Strong foundation in mathematics, statistics, and operations research, with proficiency in data manipulation tools (SQL, Pandas, Spark) and deep learning techniques • Excellent communication skills for conveying findings and recommendations, with a willingness to travel for client engagements • Skills in Technical Design Optimization • Strong relationship-building skills • Demonstrated client trust and value • Digital fluency and emotional agility • Commercial acumen and negotiation skills • Proven ability to lead teams and manage change Nice-to-haves • 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 managing complex projects with multiple stakeholders • A strong understanding of industry trends and emerging technologies • Skills in data visualization and storytelling with data • Experience with image processing techniques and/or speech and audio processing and analysis Benefits • We offer a comprehensive compensation and benefits package where you'll be rewarded based on your performance and recognized for the value you bring to the business. • The base salary range for this job in all geographic locations in the US is $125,500 to $230,200. • The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $150,700 to $261,600. • Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. • In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options. • Join us in our team-led and leader-enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year. • Under our flexible vacation policy, 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. Apply tot his job Apply tot his job

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Common Interview Questions And Answers

1. HOW DO YOU PLAN YOUR DAY?

This is what this question poses: When do you focus and start working seriously? What are the hours you work optimally? Are you a night owl? A morning bird? Remote teams can be made up of people working on different shifts and around the world, so you won't necessarily be stuck in the 9-5 schedule if it's not for you...

2. HOW DO YOU USE THE DIFFERENT COMMUNICATION TOOLS IN DIFFERENT SITUATIONS?

When you're working on a remote team, there's no way to chat in the hallway between meetings or catch up on the latest project during an office carpool. Therefore, virtual communication will be absolutely essential to get your work done...

3. WHAT IS "WORKING REMOTE" REALLY FOR YOU?

Many people want to work remotely because of the flexibility it allows. You can work anywhere and at any time of the day...

4. WHAT DO YOU NEED IN YOUR PHYSICAL WORKSPACE TO SUCCEED IN YOUR WORK?

With this question, companies are looking to see what equipment they may need to provide you with and to verify how aware you are of what remote working could mean for you physically and logistically...

5. HOW DO YOU PROCESS INFORMATION?

Several years ago, I was working in a team to plan a big event. My supervisor made us all work as a team before the big day. One of our activities has been to find out how each of us processes information...

6. HOW DO YOU MANAGE THE CALENDAR AND THE PROGRAM? WHICH APPLICATIONS / SYSTEM DO YOU USE?

Or you may receive even more specific questions, such as: What's on your calendar? Do you plan blocks of time to do certain types of work? Do you have an open calendar that everyone can see?...

7. HOW DO YOU ORGANIZE FILES, LINKS, AND TABS ON YOUR COMPUTER?

Just like your schedule, how you track files and other information is very important. After all, everything is digital!...

8. HOW TO PRIORITIZE WORK?

The day I watched Marie Forleo's film separating the important from the urgent, my life changed. Not all remote jobs start fast, but most of them are...

9. HOW DO YOU PREPARE FOR A MEETING AND PREPARE A MEETING? WHAT DO YOU SEE HAPPENING DURING THE MEETING?

Just as communication is essential when working remotely, so is organization. Because you won't have those opportunities in the elevator or a casual conversation in the lunchroom, you should take advantage of the little time you have in a video or phone conference...

10. HOW DO YOU USE TECHNOLOGY ON A DAILY BASIS, IN YOUR WORK AND FOR YOUR PLEASURE?

This is a great question because it shows your comfort level with technology, which is very important for a remote worker because you will be working with technology over time...