AI Strategy Leader — Remote/Hybrid AI for Clients

EY

Baton Rouge (LA)

Hybrid

USD 125.000 - 230.000

Vollzeit

Vor 2 Tagen
Sei unter den ersten Bewerbenden

Eine vollständige Bewerbung in einer Minute

Maßgeschneiderter Lebenslauf und Anschreiben – versandbereit.

Schaffe es an den ATS-Filtern vorbei

Zusammenfassung

EY is significantly investing in their AI & Data practice. This role leads AI strategies for clients, guiding teams of scientists and engineers to deliver scalable data science and AI solutions across diverse data sources and ecosystems.

You will work at the intersection of AI strategy and operationalizing ML/AI capabilities, with opportunities to advance in a high-visibility environment. Hybrid work and global collaboration are core.

Qualifikationen

  • Bachelor’s degree or MS in Business or Economics, Technology Entrepreneurship, CS, Informatics, Statistics, Applied Math, Data Science, or ML.
  • Minimum of 5 years of professional consulting experience in business or technology.
  • Experience with Generative AI models and frameworks (OpenAI, LLMs, Langchain, RAG).
  • Experience with ML packages (scikit-learn, PyTorch, ONNX) and ML workflows.

Aufgaben

  • Lead development and execution of AI strategies for clients.
  • Collaborate with AI engineers and data scientists on ML/AI solutions.
  • Provide guidance on ModelOps architecture and tooling.
  • Work with data and cloud engineering teams to implement solutions.
  • Engage with clients across large-scale engagements and ensure quality deliverables.

Kenntnisse

Python
ModelOps
AI strategy
CI/CD
Data science
Team collaboration

Ausbildung

Bachelor’s or MS in CS, Data Science, or ML

Tools

Microsoft
Databricks
AWS
NVIDIA
Snowflake

Jobbeschreibung

EY is significantly investing in their AI & Data practice. This role leads AI strategies for clients, guiding teams of scientists and engineers to deliver scalable data science and AI solutions across diverse data sources and ecosystems.

You will work at the intersection of AI strategy and operationalizing ML/AI capabilities, with opportunities to advance in a high-visibility environment. Hybrid work and global collaboration are core.

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