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AI & Machine Learning Engineering Consultant - Manager - Consulting

Job in Greenville, Greenville County, South Carolina, 29610, USA
Listing for: EY
Full Time position
Listed on 2025-12-05
Job specializations:
  • IT/Tech
    AI Engineer, Data Engineer
Job Description & How to Apply Below
Position: AI & Machine Learning Engineering Consultant - Manager - Consulting - Location OPEN

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

Join EY as an AI & Machine Learning Engineering Consultant – Manager – Consulting – Location OPEN. The role is open for new applicants.

Location

Anywhere in Country

About EY

At EY, we’re all in to shape your future with confidence. We 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 build a better working world.

Technology – Data and Decision Science – AI Native Engineering

Role Overview

Our Artificial Intelligence and Data team applies cutting‑edge technology and techniques to deliver client solutions. You will sit side‑by‑side with clients and EY teams to craft comprehensive approaches to challenging problems, many of which have not been solved before. Your work will span research, development and deployment of scalable AI systems across cloud and on‑premises environments. You will enhance data pipelines, optimize data for XOps processes, and continually refine high‑performance models.

Heavy client interaction in a fast‑paced environment will be expected.

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 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. This role will work to deliver tech at speed, innovate at scale and put humans at the center. You will provide technical guidance and share knowledge with team members of diverse skills and backgrounds. Demonstrate technical capabilities, professional knowledge, and experience with EY service lines.

Learn about EY and its service lines and actively assess and present ways to apply knowledge and services.

  • 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 required (4‑year degree).
  • 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.
  • 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) and 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 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.
  • Demonstra…
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