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AI & Machine Learning Engineering Consultant - Manager - Consulting
Remote / Online - Candidates ideally in
Columbus, Franklin County, Ohio, 43224, USA
Listed on 2025-12-01
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
Job Description & How to Apply Below
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.
- 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.
- 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.
- 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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