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EY Machine Learning Engineer - Senior - Technology Consulting - Location Open in New York, New York

At EY, 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 EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.

The opportunity

Our Data and Analytics team helps apply cutting edge technology and techniques to bring solutions to our clients. As part of that, you’ll sit side-by-side with clients and diverse teams from EY to create a well-rounded approach to advising and solving challenging problems, some of which have not been solved before. No two days will be the same, and with constant research and development, you’ll find yourself building knowledge that can be applied across a wide range of projects now, and in the future. You’ll need to have a passion for continuous learning, stay ahead of the trends, and influence new ways of working so you can position solutions in the most relevant and innovative way for our clients. You can expect heavy client interaction in a fast-paced environment and the opportunity to develop your own career path for your unique skills and ambitions.

Your key responsibilities

You will work with a wide variety of clients to deliver the latest data science and big data technologies. Your teams will design and build scalable solutions that unify, enrich and derive insights from varied data sources across a broad technology landscape. You will help our clients navigate the complex world of modern data science, analytics and software engineering. We’ll look to you to provide guidance and perform technical development tasks to ensure data science solutions are properly engineered and maintained to support the ongoing business needs of our clients.

Skills and attributes for success

This role will work to deliver tech at speed, innovate at scale and put humans at the center. Provide technical guidance and share knowledge with team members with diverse skills and backgrounds. Consistently deliver quality client services focusing on more complex, judgmental and/or specialized 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.

To qualify for the role you must have

  • Extensive experience using Devops tools like GIT, Azure Devops, Jira to develop and deploy analytical solutions with multiple features, pipelines and releases.

  • A solid understanding of Machine Learning workflows including ingesting, analysing, transforming data and evaluating results to make meaningful predictions.

  • Experience with CI/CD methods.

  • Strong skills in one or more languages: Python, R, JavaScript, Java, C++, C.

  • Experience designing, building and maintaining Machine Learning models, frameworks and pipelines.

  • Experience designing and deploying end to end ML workflows on at least one major cloud computing platform.

  • Understanding of data structures, data modelling and software engineering best practices.

  • Proficiency using data manipulation tools and libraries such as SQL, Pandas, and Spark.

  • Clearly communicating findings, recommendations and opportunities to improve data systems and solutions.

  • Experience with containerization and scaling models using one or more workbench capabilities (e.g. Dataiku, DataRobot, Sagemaker)

  • Integrating models and feedback from downstream consumption systems - reporting and dashboards, AI driven applications

Ideally, you’ll also have

  • Strong mathematical and statistical skills in linear algebra, calculus and Bayesian statistics.

  • Demonstrating deep understanding of and ability to teach concepts, tools, features, functions and benefits of different approaches to apply them.

  • Experience working with scikit-learn, Pytorch and ONNX, or related ML libraries.

  • Experienced in feature extraction, statistical approaches, linear and non-linear classifiers, regression models, and other modelling techniques.

  • Master's degree Computer Science, Mathematics, Physical Sciences or related fields.

  • Experience working with diverse teams to deliver complex solutions

What we look for

  • You have an agile, growth-oriented mindset. What you know matters. But the right mindset is just as important in determining success. We’re looking for people who are innovative, can work in an agile way and keep pace with a rapidly changing world.

  • You are curious and purpose driven. We’re looking for people who see opportunities instead of challenges, who ask better questions to seek better answers that build a better working world.

  • You are inclusive. We’re looking for people who seek out and embrace diverse perspectives, who value differences, and team inclusively to build safety and trust. FY22NATDNA

What we offer

We offer a competitive compensation package where you’ll be rewarded based on your performance and recognized for the value you bring to our business. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options. Under our flexible vacation policy, you’ll decide how much vacation time you need based on your own personal circumstances. You’ll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being.

  • Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next.

  • Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way.

  • Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs.

  • Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs.

If you can demonstrate that you meet the criteria above, please contact us as soon as possible.

The exceptional EY experience. It’s yours to build.

EY | Building a better working world

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.

Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

EY is an equal opportunity, affirmative action employer providing equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law.

EY is committed to providing reasonable accommodation to individuals with disabilities. If you are a qualified individual with a disability and either need assistance applying online or need to request an accommodation during the interview process, please call 1-800-EY-HELP3, type Option 2 (HR-related inquiries) and then type Option 1 (HR Shared Services Center), which will route you to EY’s Talent Shared Services Team or email SSC Customer Support at .