AI & Machine Learning Engineer - Manager - Consulting - Open Location

Position Overview

Location: Anywhere in Country. At EY, we’re all in to shape your future with confidence. Join our Technology – Data and Decision Science – AI Native Engineering team as an AI/Machine Learning Engineer, Manager Consultant. In this role, you will research, build, and implement scalable artificial intelligence systems while enhancing data pipelines and collaborating with diverse clients and interdisciplinary teams to drive innovative solutions.

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.

Required Qualifications

• A Bachelor’s degree (4-year degree) is required.
• 6-10 years of relevant full-time experience in AI, Data Science, and/or Machine Learning.
• 2-4 years of experience directly managing technical teams.
• Strong skills in Python.
• Experience using Generative AI models and frameworks (e.g., OpenAI family, open source LLMs, Dall-e, LlamaIndex, Langchain, Retrieval Augmented Generation).
• Familiarity with popular ML packages like scikit-learn, Pytorch, ONNX and experience with DevOps tools such as GIT, Azure Devops, and Agile platforms like Jira.
• Solid understanding of Machine Learning workflows, including data ingestion, analysis, transformation, and evaluation.
• Experience with MLOps methods, CI/CD, test-driven development, and deploying end-to-end ML workflows on cloud platforms.
• Understanding of data structures, data modeling, and software engineering best practices.
• Proficiency in data manipulation tools and libraries such as SQL, Pandas, and Spark.
• Excellent communication skills to clearly convey findings and recommendations.
• Experience with containerization, scaling models, and integrating AI systems into production environments.
• Deep Learning expertise with strong foundations in Mathematics, Statistics, and Operations Research.
• Knowledge of Data Architecture Design, modeling, and familiarity with Cloud Computing environments.
• Willingness to travel to meet client obligations.

Preferred Qualifications

• A deep understanding of and ability to teach concepts, tools, features, and benefits of differing approaches.
• Master’s degree in Computer Science, Mathematics, Physical Sciences, or another quantitative field.
• Experience working with diverse teams to deliver complex solutions.
• Proficiency in additional programming languages beyond Python (e.g., R, JavaScript, Java, C++, C).
• Experience fine-tuning Generative AI models and managing complex projects with multiple stakeholders.
• A strong understanding of industry trends and emerging technologies, with skills in data visualization and storytelling.

Benefits & Perks

• Comprehensive Compensation and Benefits package including base salary ranges from $124,300 to $227,900 (and up to $259,000 in select regions), as well as medical, dental, pension, and 401(k) plans.
• Opportunity to work in a team-led, leader-enabled hybrid model with 40-60% in-person engagement.
• Flexible Vacation Policy allowing you to determine your own time off along with paid holidays and additional leave options to support your well-being.
• World-class training and development in a diverse, inclusive, and globally connected environment.