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

$105,800 - $174,800/Yr

Ernst & Young - Grand Rapids, MI

Full-time - Mid Level

Grand Rapids, MI

Professional, Scientific, and Technical Services

About the position

The AI & Machine Learning Engineer - Senior Consultant role at EY involves working closely with clients to deliver innovative data science and machine learning solutions. This position requires a strong technical background in AI and machine learning, with a focus on developing scalable solutions that unify and analyze diverse data sources. The role emphasizes continuous learning, client interaction, and collaboration within a dynamic team to tackle complex computational problems.

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 interdisciplinary teams to ideate and pursue new opportunities in AI and machine learning.
• Communicate findings, recommendations, and opportunities to improve data systems and 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 like SQL, Pandas, and Spark.
• Strong mathematical and quantitative skills including calculus and statistics.

Nice-to-haves

• Master's degree in Computer Science, Mathematics, or related field.
• Experience working with diverse teams to deliver complex solutions.
• Strong skills in languages beyond Python such as R, JavaScript, and Java.
• 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 employees to decide their vacation time.
• Paid time off for designated holidays, winter/summer breaks, and personal/family care.