AI & Machine Learning Engineer - Manager - Consulting - Location OPEN

Ernst & Young - Trenton, NJ

Full-time - Manager

Trenton, NJ

Professional, Scientific, and Technical Services

About the position

The AI & Machine Learning Engineer - Manager position at EY involves leading a team to deliver innovative data science and machine learning solutions to clients. This role emphasizes client interaction, technical guidance, and the application of cutting-edge technology to solve complex problems. The position requires a passion for continuous learning and the ability to influence new ways of working in a fast-paced environment.

Responsibilities

• Work with a variety of clients to deliver data science and big data technologies.
• Design and build scalable solutions that unify, enrich, and derive insights from varied data sources.
• Guide clients through the complexities of modern data science, analytics, and software engineering.
• Provide technical development tasks to ensure data science solutions are properly engineered and maintained.
• Collaborate with a dynamic team of scientists and engineers to tackle challenging computational problems.
• Deliver quality client services focusing on complex and specialized issues surrounding emerging technology.

Requirements

• Bachelor's degree and 6-10 years of full-time working experience in AI, Data Science, and/or Machine Learning.
• 2-4 years of experience directly managing technical teams.
• Strong skills in Python.
• Experience using Generative AI models and frameworks such as OpenAI family, open source LLMs, Dall-e, LlamaIndex, Langchain, and Retrieval Augmented Generation (RAG).
• Experience with popular ML packages like scikit-learn, Pytorch, and ONNX.
• Extensive experience using DevOps tools like GIT, Azure DevOps, and Agile tools such as Jira.
• Solid understanding of Machine Learning workflows including data ingestion, analysis, transformation, and evaluation.
• Experience with MLOps methods and platforms such as MLFlow.
• Experience with CI/CD and test-driven development.

Nice-to-haves

• Advanced academic degrees or equivalent experience in industry.
• Experience in a consulting environment.

Benefits

• Inclusive culture and support for career development.
• Opportunities for continuous learning and professional growth.