AI & Machine Learning Engineering Consultant - Manager

The Opportunity as an AI & Machine Learning Engineering Consultant - Manager at EY

At EY, we are dedicated to shaping your future with confidence within a globally connected network of diverse teams. Joining EY means contributing to a better working world, leveraging cutting-edge technology and techniques within our Artificial Intelligence and Data team to deliver innovative solutions to clients. This role offers a unique opportunity to work side-by-side with clients and diverse EY teams, tackling challenging, often unprecedented problems. You will be immersed in constant research and development, building knowledge applicable across a wide range of current and future projects.

As an AI & Machine Learning Engineering Consultant - Manager, you will be instrumental in researching, building, and implementing scalable artificial intelligence systems. These systems will learn and make predictions tailored to specific business requirements, operating across various environments including cloud and on-premises. Your responsibilities will also include enhancing data pipelines and storage to ensure data quality, accuracy, and optimization for XOps processes. Continuous monitoring and evaluation of learning processes will be crucial for improving high-performance models, while collaboration with other data and analytics professionals will industrialize analysis into effective analytics solutions.

You will play a pivotal role in delivering innovative solutions that drive business success, working with a wide variety of clients to implement the latest data science and big data technologies. Your teams will design and build scalable solutions that unify, enrich, and derive insights from diverse data sources across a broad technology landscape. You will guide clients through the complexities of modern data science, analytics, and software engineering, providing technical development and guidance to ensure data science solutions are properly engineered and maintained for ongoing business needs.

You will join a dynamic, interdisciplinary team of scientists and engineers passionate about solving complex computational problems for clients, emphasizing creative thinking, efficient application building, and collaborative ideation.

Your Key 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 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, a combination of technical expertise and strong interpersonal skills is essential. You will deliver technology at speed, innovate at scale, and keep humans at the center of solutions. Providing technical guidance and sharing knowledge with diverse team members is expected. You will consistently deliver quality client services, focusing on complex, judgmental, and specialized issues in emerging technology, while demonstrating strong technical capabilities and professional knowledge.

Key attributes include:

• 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

• A Bachelor’s degree (4-year degree) is required.
• 6-10 years of relevant 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 to 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.
• Proficiency 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 CI/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.

Ideally, You’ll Also Have

• A deep understanding of and ability to teach concepts, tools, features, functions, and benefits of different approaches.
• Master's degree in 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.

What We Look For

We seek individuals who are not only technically proficient but also possess the ability to think critically and creatively. Top performers demonstrate a commitment to excellence, a collaborative spirit, and a passion for driving innovation in the field of AI and data science. Your ability to collaborate effectively and communicate with clarity will set you apart as a leader in our team.

What We Offer You

EY offers a comprehensive compensation and benefits package where you’ll be rewarded based on your performance and recognized for the value you bring. This includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options. The base salary range for this job in all geographic locations in the US is $125,500 to $230,200, with a higher range for New York City Metro Area, Washington State, and California (excluding Sacramento) at $150,700 to $261,600. EY operates on a team-led and leader-enabled hybrid model, expecting most external, client-serving roles to work in person 40-60% of the time over an engagement, project, or year. Under our flexible vacation policy, you’ll decide how much vacation time you need, complemented by designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves.

Key skills/competency

• Artificial Intelligence
• Machine Learning
• Data Science
• Generative AI
• Python
• Cloud Platforms
• DevOps
• MLOps
• Project Management
• Client Engagement