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

$105,800 - $174,800/Yr

Ernst & Young - Greenville, SC

Full-time - Mid Level

Greenville, SC

Professional, Scientific, and Technical Services

About the position

As a Senior AI & Machine Learning Engineer at EY, you will be part of a dynamic team focused on applying cutting-edge technology and techniques to solve complex problems for clients. This role involves heavy client interaction, continuous learning, and the opportunity to innovate and influence new ways of working in the field of AI and data science. You will design and build scalable solutions, navigate modern data science challenges, and contribute to a collaborative environment that values diverse perspectives.

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.
• 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.
• Deliver tech at speed, innovate at scale, and put humans at the center of solutions.

Requirements

• Bachelor's degree and 3-6 years of full-time working experience in AI and/or Machine Learning.
• 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.

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 such as 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.
• Flexible vacation policy allowing you to decide how much vacation time you need.
• Time off for designated EY Paid Holidays, Winter/Summer breaks, and Personal/Family Care.