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AI & Machine Learning Engineering Consultant - Manager - Consulting

Job in Toledo, Lucas County, Ohio, 43614, USA
Listing for: EY
Full Time position
Listed on 2025-12-02
Job specializations:
  • IT/Tech
    AI Engineer, Machine Learning/ ML Engineer, Data Analyst, Data Engineer
Job Description & How to Apply Below
Position: AI & Machine Learning Engineering Consultant - Manager - Consulting - Location OPEN

AI & Machine Learning Engineering Consultant - Manager

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.

Technology – Data and Decision Science – AI Native Engineering Opportunity

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. 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 to ensure data is clean, accurate, and optimized for XOps processes. Additionally, you will monitor and evaluate learning processes to continuously improve high‑performance models and collaborate with other data and analytics professionals to industrialize analysis into effective analytics solutions.

Key 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 work streams 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. You will provide technical guidance, share knowledge with team members, and consistently deliver high‑quality client services focusing on complex, judgmental and/or specialized issues surrounding emerging technology. Demonstrate technical capabilities and professional knowledge, and learn about EY and its service lines to apply knowledge and services effectively.

Required Qualifications
  • A Bachelor’s degree (four‑year).
  • 6–10 years of full‑time 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.
  • Proficient in Generative AI models and frameworks (e.g., OpenAI, DALL‑E, Lang Chain, Retrieval Augmented Generation). Experienced with ML packages like scikit‑learn and PyTorch.
  • Experience with natural language processing and deep learning.
  • Extensive experience in Dev Ops tools (GIT, Azure Dev Ops), Agile methodologies (Jira), and CI/CD pipelines.
  • 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, and 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.
Desired (Ideal) Qualifications
  • Deep understanding and ability to teach concepts, tools, functions, and benefits of different approaches.
  • Master’s degree in Computer Science, Mathematics, Physical Sciences, or other quantitative field.
  • Ex…
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