AI/ML Engineering Manager — Power & Utilities

EY; Oklahoma City (OK); Hybride; USD 126 000 - 230 000; Plein temps

Avantages offerts par ce poste

Hybrid work model

Total Rewards package (medical and 401

Paid time off options

Résumé du poste

EY invites experienced AI and data professionals to join our Artificial Intelligence and Data team, delivering scalable AI systems for regulated utilities. You’ll work side‑by‑side with clients and diverse EY teams, shaping solutions across cloud and on‑prem environments while advancing your career in a fast‑paced, research‑driven setting.

You’ll lead data science and big data projects, collaborate across IT and business units, and contribute to governance, cybersecurity, and regulatory

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 directly managing technical teams.
• Experience designing, building, and maintaining high‑impact production AI/ML solutions on a major cloud platform.

Responsabilités

• Lead workstream delivery and ensure effective management of processes and projects.
• Identify innovative solutions through research and analysis.
• Manage professional employees and supervise teams to deliver complex technical initiatives.
• Engage with clients and lead workstreams from planning through execution to closure.
• Design and deliver AI/ML use cases relevant to Power & Utilities such as asset health and failure prediction, outage detection, regulatory analytics.

Connaissances

Python

Generative AI

DevOps

Cloud platforms

Data science

Formation

Bachelor’s degree

Master’s degree (preferred)

Outils

Git

Azure DevOps

Jira

PyTorch

scikit-learn

Description du poste

EY invites experienced AI and data professionals to join our Artificial Intelligence and Data team, delivering scalable AI systems for regulated utilities. You’ll work side‑by‑side with clients and diverse EY teams, shaping solutions across cloud and on‑prem environments while advancing your career in a fast‑paced, research‑driven setting.

You’ll lead data science and big data projects, collaborate across IT and business units, and contribute to governance, cybersecurity, and regulatory