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

$124,300 - $227,900/Yr

Ernst & Young - Phoenix, AZ

Full-time - Manager

Phoenix, AZ

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, continuous learning, and the application of cutting-edge technology to solve complex problems. The successful candidate will work closely with diverse teams to design and implement scalable solutions that leverage data from various sources, ensuring that data science solutions are effectively engineered and maintained to meet client needs.

Responsibilities

• Work with a variety of clients to deliver the latest data science and big data technologies.
• Design and build scalable solutions that unify, enrich, and derive insights from varied data sources.
• Help clients navigate the complex world of modern data science, analytics, and software engineering.
• Provide guidance and perform 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.

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, Dall-e, and Langchain.
• Experience with popular ML packages like scikit-learn, Pytorch, and ONNX.
• Extensive experience using DevOps tools like GIT and Azure DevOps.
• Solid understanding of Machine Learning workflows including data ingestion, analysis, and evaluation.
• Experience with MLOps methods and platforms such as MLFlow.
• Experience with CI/CD and test-driven development.
• Experience designing, building, and maintaining ML models and pipelines.
• Experience deploying end-to-end ML workflows on major cloud platforms.
• Understanding of data structures, data modeling, and software engineering best practices.
• Proficiency in data manipulation tools and libraries such as SQL, Pandas, and Spark.
• Ability to communicate findings and recommendations clearly.
• Experience with containerization and scaling models.
• Strong mathematical and quantitative skills including calculus, linear algebra, and statistics.
• Willingness to travel to meet client obligations.

Nice-to-haves

• Master's degree in Computer Science, Mathematics, Physical Sciences, or other quantitative fields.
• Experience working with diverse teams to deliver complex solutions.
• Strong skills in languages beyond Python: R, JavaScript, Java, C++, C.
• Experience fine-tuning Generative AI models.

Benefits

• Comprehensive compensation and benefits package based on performance.
• Medical and dental coverage.
• Pension and 401(k) plans.
• Wide range of paid time off options including flexible vacation policy.
• Time off for designated EY Paid Holidays, Winter/Summer breaks, and Personal/Family Care.