AI Strategy Lead — Hybrid Tech Consulting

EY; Indianapolis (IN); Hybrid; USD 126.000 - 251.000; Vollzeit

Benefits dieser Stelle

Medical and dental coverage

401(k) plan

Paid time off

Zusammenfassung

EY is significantly investing in their AI & Data practice. You will help clients develop AI at scale, delivering data science and big data solutions across diverse industries. Join a cross-functional team of scientists and engineers to design scalable architectures and drive measurable business outcomes.

You will lead AI strategies, collaborate with data scientists, ML engineers, cloud and DevOps teams, and help establish governance, security and operational excellence in client environments.

Qualifikationen

• Bachelor’s degree or MS in a relevant field and at least 5 years of professional consulting experience.
• Experience with Generative AI models and frameworks (OpenAI family, LLMs, Dall-e, Langchain, RAG).
• Experience with ML packages such as scikit-learn, PyTorch and ONNX.
• Solid understanding of ML workflows including data ingest, transformation, evaluation and prediction.

Aufgaben

• Lead development and execution of AI strategies for client engagements.
• Deliver scalable AI solutions across data sources and platforms.
• Collaborate with AI engineers, data scientists, cloud and DevOps teams to implement ModelOps.
• Capture and translate client needs into architectural guidance and actionable plans.

Kenntnisse

Python

MLOps

Generative AI

CI/CD

Analytical skills

Communication

Ausbildung

Bachelor’s degree in Computer Science

MS in Data Science

Tools

MLFlow

scikit-learn

PyTorch

ONNX

Langchain

DALL·E

Pandas

SQL

Spark

Jobbeschreibung

EY is significantly investing in their AI & Data practice. You will help clients develop AI at scale, delivering data science and big data solutions across diverse industries. Join a cross-functional team of scientists and engineers to design scalable architectures and drive measurable business outcomes.

You will lead AI strategies, collaborate with data scientists, ML engineers, cloud and DevOps teams, and help establish governance, security and operational excellence in client environments.