Senior AI & ML Engineering Lead - Client Solutions

Ernst & Young Oman

St. Louis (MO)

On-site

USD 151,000 - 251,000

Full time

6 days ago
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Benefits offered by this job

Medical and dental coverage
401(k) and pension plans
Paid time off

Job summary

EY is seeking a Manager in Model Engineering to lead end-to-end AI/ML initiatives, collaborating with clients and cross‑functional teams to deliver scalable AI solutions across data sources and platforms.

You will guide teams through design, development, deployment, and ongoing optimization, with a focus on responsible AI practices and measurable business value. A strong blend of technical depth and client-facing skills is essential.

Qualifications

  • Bachelor’s degree required (4‑year degree).
  • 6–10 years of AI/Data Science/ML experience.
  • 2–4 years of experience managing technical teams.
  • Strong Python skills.
  • Ability to lead and communicate with diverse, hybrid/global teams.
  • Experience designing and maintaining production AI/ML solutions on a major cloud platform.
  • Proficiency with foundation models, generative AI, and agentic AI frameworks (e.g., OpenAI, DALL·E, LangChain, RAG).
  • Experience with ML packages like scikit‑learn and PyTorch.
  • Experience with NLP and deep learning.
  • Extensive experience in DevOps tools and Agile methodologies (Jira).
  • Experience with MLOps, LLMOps, AgentOps, data ingestion/transformation/evaluation.
  • Model retraining and feedback loop methodologies.
  • Observability, monitoring and reporting for AI solutions.
  • Data structures, modeling, software engineering, and Responsible AI practices.
  • Strong math/ statistics background; data manipulation (SQL, Pandas, Spark); deep learning techniques.
  • Excellent communication; willing to travel for client engagements.

Responsibilities

  • Lead AI workstreams from design to deployment and optimization.
  • Drive process improvements through research and analysis.
  • Manage multidisciplinary teams delivering complex AI initiatives with quality and responsible deployment.
  • Engage with clients and lead workstreams from planning to closure.
  • Identify opportunities for additional services and manage engagement economics.

Skills

Python
Team leadership
AI/ML
Cloud platforms
Data science
DevOps
RAG / LLMOps
Communication
Digital fluency
Mathematics/Statistics

Education

Bachelor's degree
Master's degree (preferred)

Tools

OpenAI
Langchain
PyTorch
Git
Azure DevOps

Job description

EY is seeking a Manager in Model Engineering to lead end-to-end AI/ML initiatives, collaborating with clients and cross‑functional teams to deliver scalable AI solutions across data sources and platforms.

You will guide teams through design, development, deployment, and ongoing optimization, with a focus on responsible AI practices and measurable business value. A strong blend of technical depth and client-facing skills is essential.

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