Senior Artificial Intelligence Leader for Emerging Technologies

3 weeks ago


Miami, United States Ernst and Young Full time

About the Opportunity

At Ernst and Young, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we're counting on your unique voice and perspective to help us become even better.

We focus on high-ethical standards and integrity among our employees and expect all candidates to demonstrate these qualities.

Your Key Responsibilities

You will work closely with clients to deliver cutting-edge data science and big data technologies, designing and building scalable solutions that unify, enrich, and derive insights from varied data sources across a broad technology landscape. You will guide our clients in navigating the complex world of modern data science, analytics, and software engineering, ensuring data science solutions are properly engineered and maintained to support ongoing business needs.

You will be part of a dynamic and interdisciplinary team of scientists and engineers who love to tackle challenging computational problems for our clients. We value creative thinking, efficient application development, and collaboration in both solution ideation and pursuit of new opportunities.

Key Skills and Attributes for Success

  • Deliver tech at speed, innovate at scale, and put humans at the center
  • Provide technical guidance and share knowledge with diverse teams
  • Consistently deliver quality client services focusing on complex issues surrounding emerging technology
  • Demonstrate technical capabilities and professional knowledge
  • Learn about EY and its service lines and actively assess and present ways to apply knowledge and services
Required Skills and Qualifications
  1. Bachelor's degree and 6-10 years of full-time working experience in AI, Data Science, and/or Machine Learning
  2. 2-4 years of experience directly managing technical teams
  3. Strong skills in Python
  4. Experience using Generative AI models and frameworks
  5. Experience working with popular ML packages such as scikit-learn, Pytorch, and ONNX, or related ML libraries
  6. Extensive experience using DevOps tools like GIT, Azure Devops, and Agile tools such as Jira to develop and deploy analytical solutions
  7. Solid understanding of Machine Learning (ML) workflows
  8. Experience with MLOps methods and platforms such as MLFlow
  9. Experience with CI/CD and test-driven development
  10. Experience designing, building, and maintaining ML models, frameworks, and pipelines
  11. Experience designing and deploying end-to-end ML workflows on at least one major cloud computing platform
  12. Understanding of data structures, data modelling, and software engineering best practices
  13. Proficiency using data manipulation tools and libraries such as SQL, Pandas, and Spark
  14. Clearly communicating findings, recommendations, and opportunities to improve data systems and solutions
  15. Experience with containerization and scaling models
  16. Integrating models and feedback from downstream consumption systems
  17. Strong mathematical and quantitative skills
  18. Willingness to travel to meet client obligations
Ideal Qualifications
  1. A deep understanding of and ability to teach concepts, tools, features, functions, and benefits of different approaches
  2. Master's degree Computer Science, Mathematics, Physical Sciences, or other quantitative field
  3. Experience working with diverse teams to deliver complex solutions
  4. Strong skills in languages beyond Python: R, JavaScript, Java, C++, C
  5. Experience fine-tuning Generative AI models
Our Culture

We offer a comprehensive compensation and benefits package where you'll be rewarded based on your performance and recognized for the value you bring to the business. The estimated salary range for this role is $124,300 to $227,900. Our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options. Join us in our team-led and leader-enabled hybrid model, where most people in external, client-serving roles work together in person 40-60% of the time over the course of an engagement, project, or year.

About EY

EY exists to build a better working world, helping to create long-term value for clients, people, and society, and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform, and operate.



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