AI & Data Engineering Manager — Scalable ML & GenAI

Ernst & Young Oman

City of Rochester (NY)

Remote

USD 126,000 - 251,000

Full time

6 days ago
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Job summary

EY is seeking an experienced Manager in Model Engineering to deliver AI/ML solutions for diverse clients. You will lead teams, design scalable AI systems, and ensure responsible deployment across cloud and on‑prem environments.

You will collaborate with data scientists, software engineers, and clients to translate business needs into high‑impact analytics solutions, fostering innovation and continuous learning. Travel to client engagements may be required.

Qualifications

  • Bachelor’s degree required (4‑year degree).
  • 6‑10 years of relevant experience in AI, Data Science, and/or Machine Learning.
  • 2‑4 years of experience directly managing technical teams.
  • Strong skills in Python.

Responsibilities

  • Leading AI workstreams from solution design through production deployment and ongoing optimization.
  • Continuously improving processes by identifying innovative solutions through research and analysis.
  • Managing multidisciplinary teams to deliver complex AI engineering initiatives with accountability for quality and responsible deployment.
  • 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.

Skills

Python
Git
Azure DevOps
Langchain
OpenAI
PyTorch
Jira

Education

Bachelor’s degree

Tools

Git
Azure DevOps
Jira
Langchain
OpenAI
PyTorch
scikit-learn

Job description

EY is seeking an experienced Manager in Model Engineering to deliver AI/ML solutions for diverse clients. You will lead teams, design scalable AI systems, and ensure responsible deployment across cloud and on‑prem environments.

You will collaborate with data scientists, software engineers, and clients to translate business needs into high‑impact analytics solutions, fostering innovation and continuous learning. Travel to client engagements may be required.

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