AI Strategy Lead for Enterprise ML & Data

EY

Southfield (MI)

Hybrid

USD 126,000 - 251,000

Full time

2 days ago
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Benefits offered by this job

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

Job summary

EY is building a high-visibility AI & Data practice in the US, seeking an AI Manager to lead AI strategies for diverse client engagements. You will work with interdisciplinary teams to design and deploy scalable AI/ML solutions, applying state-of-the-art data science techniques and ModelOps practices.

Travel to client sites is expected as needed. The role emphasizes leadership in AI strategy, collaboration with data scientists, and delivery of high-quality client services across a HYBRID model,

Qualifications

  • Bachelor’s degree or MS in a relevant field.
  • 5+ years of professional consulting experience in business or technology.
  • Experience with Generative AI models and frameworks (e.g., OpenAI, LLMs, Dall-e, Langchain).
  • Experience with ML packages such as scikit-learn, PyTorch and ONNX.
  • Solid understanding of ML workflows: ingesting, transforming data and evaluating results.
  • Experience with MLOps platforms such as MLFlow.

Responsibilities

  • Lead the development and execution of AI strategies for clients.
  • Collaborate with AI engineers and data scientists in delivering ML/AI solutions.
  • Design scalable AI architectures and ModelOps target state.
  • Guide clients on AI ethics, data governance and regulatory considerations.
  • Maintain strong client relationships and deliver high-quality work on time and budget.

Skills

Python
CI/CD
Data science
Machine Learning
Communication
Team collaboration

Education

Bachelor’s degree in Computer Science or related
MS degree in related field

Tools

MLFlow
scikit-learn
PyTorch
ONNX
Langchain

Job description

EY is building a high-visibility AI & Data practice in the US, seeking an AI Manager to lead AI strategies for diverse client engagements. You will work with interdisciplinary teams to design and deploy scalable AI/ML solutions, applying state-of-the-art data science techniques and ModelOps practices.

Travel to client sites is expected as needed. The role emphasizes leadership in AI strategy, collaboration with data scientists, and delivery of high-quality client services across a HYBRID model,

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