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AI & Machine Learning Engineering Consultant - Manager - Consulting

Remote / Online - Candidates ideally in
Columbus, Franklin County, Ohio, 43224, USA
Listing for: EY
Remote/Work from Home position
Listed on 2025-12-01
Job specializations:
  • IT/Tech
    AI Engineer, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 125500 - 230200 USD Yearly USD 125500.00 230200.00 YEAR
Job Description & How to Apply Below
Position: AI & Machine Learning Engineering Consultant - Manager - Consulting - Location OPEN

AI & Machine Learning Engineering Consultant - Manager - Consulting

Join EY as an AI & Machine Learning Engineering Consultant – Manager to partner with clients across a range of industries. You will deliver scalable AI solutions, drive innovation, and influence client strategy in a fast-paced consulting environment.

Key Responsibilities
  • Lead delivery of end‑to‑end AI projects, from scoping and architecture design to production deployment.
  • Build and maintain robust data pipelines and model pipelines, ensuring data quality, governance and XOps best practices.
  • Collaborate with data scientists, software engineers and client subject‑matter experts to translate complex business problems into AI solutions.
  • Mentor and manage a high‑performing technical team, providing coaching, performance feedback and career development.
  • Identify and propose additional service opportunities, managing engagement economics and client relationships.
Qualifications
  • Bachelor’s degree in Computer Science, Engineering or related field;
    Master’s preferred.
  • 6‑10 years of experience in AI, Data Science or Machine Learning, with 2‑4 years of technical team management.
  • Proficiency in Python, PyTorch, scikit‑learn, and experience building production‑grade ML models on cloud platforms.
  • Strong knowledge of MLOps practices, CI/CD, model monitoring, and model retraining pipelines.
  • Experience with Generative AI frameworks (OpenAI, Langchain, Retrieval Augmented Generation) and natural language processing.
  • Excellent communication, client engagement and leadership skills.
Technical Skills
  • Advanced Python, SQL, Spark, Pandas and deep learning libraries.
  • Cloud experience (Azure, AWS, GCP) and dev‑ops tools (Git, Azure Dev Ops, CI/CD).
  • Data engineering, data pipeline design and data quality best practices.
  • Model monitoring, observability, and MLOps workflow orchestration.
Benefits
  • Competitive base salary range $125,500 – $230,200 (US geographic variation).
  • Comprehensive medical, dental, vision, and 401(k) plans.
  • Paid time off, flexible vacation, and global holiday calendar.
  • Hybrid work model with support for flexible onsite/remote work.
  • Leadership development, continuous learning, and career advancement opportunities.

EY is an equal‑employment‑opportunity employer and welcomes applicants from all backgrounds. Applications are accepted on an ongoing basis.

EY | Building a better working world

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