Senior AI Engineer — Enterprise ML Solutions

Ernst & Young Oman

Frankfort (KY)

On-site

USD 107,000 - 177,000

Full time

7 days ago
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Benefits offered by this job

Medical and dental coverage
Pension and 401(k)
Paid time off

Job summary

EY in the United States is seeking a Senior AI Engineer to lead the design, development, and deployment of scalable AI/ML solutions across client engagements, leveraging cloud and on‑prem environments. You will collaborate with diverse teams, apply responsible AI practices, and drive data pipelines, model evaluation, and MLOps with tools like PyTorch, scikit-learn, Langchain, and OpenAI APIs.

This role offers heavy client interaction, travel to engagements, and a clear path for career growth

Qualifications

  • Bachelor’s degree required (4-year degree).
  • 3-6 years of full-time working experience in AI and/or ML.
  • Strong skills in Python.
  • Experience designing, building, and maintaining production AI/ML on major cloud platforms.
  • Proficient with OpenAI, Langchain, and RAG techniques.
  • Experience with ML tools and frameworks (scikit-learn, PyTorch).
  • Excellent communication and ability to work with diverse teams.

Responsibilities

  • Researching and implementing scalable ML, generative AI, and agentic systems.
  • Enhancing data pipelines and storage for data accuracy and cleanliness.
  • Evaluating and optimizing learning processes for high-performance models.
  • Travel to engage with external clients as needed.

Skills

Python
Communication
Collaboration
Project management
Analytical thinking
Data analysis

Education

Bachelor's degree
Master's degree

Tools

OpenAI
Langchain
scikit-learn
PyTorch
Azure DevOps
GIT
Jira

Job description

EY in the United States is seeking a Senior AI Engineer to lead the design, development, and deployment of scalable AI/ML solutions across client engagements, leveraging cloud and on‑prem environments. You will collaborate with diverse teams, apply responsible AI practices, and drive data pipelines, model evaluation, and MLOps with tools like PyTorch, scikit-learn, Langchain, and OpenAI APIs.

This role offers heavy client interaction, travel to engagements, and a clear path for career growth

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