Senior AI/ML Engineering & Solutions Lead

EY

Huntsville (AL)

Remote

USD 126,000 - 230,000

Full time

37 hours ago
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Benefits offered by this job

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

Job summary

EY in the United States invites you to join our AI, data & engineering team as a Manager in Model Engineering. You will lead clients through design and deployment of scalable AI, ML, and generative AI solutions across cloud and on‑prem environments.

You will manage multidisciplinary teams, guide technical development, and ensure responsible deployment, observability, and business value across data pipelines and analytics initiatives.

Qualifications

  • Bachelor’s degree in a relevant field.
  • 6–10 years of AI, data science, and/or machine learning experience.
  • 2–4 years of experience directly managing technical teams.
  • Strong Python skills.
  • Experience designing and deploying production AI/ML on cloud platforms.
  • Proficient with foundation models, generative AI, and ML frameworks.

Responsibilities

  • Lead AI workstreams from design through deployment and optimization.
  • Guide multidisciplinary teams to deliver scalable AI solutions.
  • Engage with clients and manage engagement economics.
  • Ensure responsible deployment, observability, and model evaluation.
  • Collaborate with data, analytics, and software engineering teams.

Skills

Python
AI/ML
Data Science
DevOps
CI/CD
MLOps
LLMOps
Langchain
PyTorch
SQL
Spark
GIT
Azure DevOps
Jira

Education

Bachelor's degree
Master's degree (preferred)

Tools

Azure DevOps
Git
Jira
OpenAI
Langchain
PyTorch
Scikit-learn

Job description

EY in the United States invites you to join our AI, data & engineering team as a Manager in Model Engineering. You will lead clients through design and deployment of scalable AI, ML, and generative AI solutions across cloud and on‑prem environments.

You will manage multidisciplinary teams, guide technical development, and ensure responsible deployment, observability, and business value across data pipelines and analytics initiatives.

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