Service Delivery Center, AI & Data, Machine Learning Engineer (MLE) - Analyst

Location: Charlotte, San Antonio, Jacksonville, Tampa, Alpharetta

About the role

At EY, we’re all in to shape your future with confidence. We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world.

EY is the only professional services firm with a separate business unit (“FSO”) dedicated to the financial services marketplace. Our FSO teams have been at the forefront of every event that has reshaped and redefined the financial services industry. This practice also has several Service Delivery Centers made up of high-performing US-based resources who work closely with our experienced client-serving professionals to deliver project-based work and managed services to our US-based Financial Services clients.

If you have a passion for rallying together to solve the most complex challenges in the financial services industry, come join our dynamic FSO team! Data has yet to be utilized to its fullest potential. Financial institutions are looking to build smarter and more efficient ways to operate their business through new opportunities uncovered by their data. You’ll be solving complex problems and delivering AI and data solutions to our clients. With support from a highly talented team, you’ll have tremendous growth opportunities, with a focus on continuous learning and skills development to become a leader that can make significant contributions to companies.

Responsibilities

• Work with diverse teams of professionals with different skill sets to deliver a wide range of AI and data services
• Collaborate and communicate effectively as a team player with a desire to learn the technical skills required for the role
• Design, build, and maintain production-grade ML and DL models, machine learning workflows, and pipelines
• Help clients make data-driven decisions by working with structured and unstructured data sets and building predictive models
• Apply advanced analytical and statistical methods, including machine learning and data structure design
• Build and apply data analysis algorithms (data mining, statistics, machine learning, natural language processing, etc.) as appropriate
• Design and develop solutions leveraging big data technology (Hadoop, Spark, etc.) to ingest, process, and analyze large, disparate data sets

Requirements

• A bachelor's or master’s degree in computer science, information systems, or related technology majors
• Minimum of 1 year of related work experience in AI/ML engineering or MLE/ML Ops
• Proficiency in Python programming and associated machine learning libraries/packages (sklearn, TensorFlow, PyTorch, etc.)
• Experience in applications of Neural Network architectures to Natural Language Processing, Computer Vision, and Machine Intelligence
• Knowledge of cloud-based AI services and machine learning platforms such as AWS SageMaker, Google AI Platform, or Azure Machine Learning
• Familiarity with containerization and orchestration technologies (Docker, Kubernetes) for deploying and managing AI applications in the cloud
• Good written and verbal communication skills
• Willingness and ability to travel at 0%-25%
• Valid driver’s license in the US
• Valid passport

Skills

• Collaborating with diverse skills and backgrounds
• Fostering an innovative and inclusive team-oriented work environment
• Being accountable for the success of your team and the project’s components
• Building strong relationships with internal clients
• Great communication and influencing skills
• Demonstrating in-depth technical capabilities, professional knowledge, and interest in the financial industry and technology

Qualifications

Ideally, you’ll also have:

• Certification in any database management system, reporting or data visualization, or programming/statistical language
• Working knowledge or certifications in cloud technologies such as Snowflake, Databricks, AWS, or Azure
• Experience with generative AI models and techniques, including GANs and Transformers
• Understanding of the ethical implications of generative AI and commitment to responsible AI practices

What We Look For

We’re interested in professionals who are passionate about technology, already have an understanding of data, and are comfortable analyzing or manipulating it while generating reports for clients. You’ll need to clearly articulate both problems and proposed solutions and have the willingness to learn and quickly adapt to changing requirements. We’re looking for team players and hard workers who are not afraid to take initiative to master their craft and produce high-quality work. If you have a proactive approach and want to be part of a group that continues to grow significantly, this role is for you.

Benefits

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, both pension and 401(k) plans, a minimum of 15 days of vacation plus ten observed holidays and three paid personal days, and a range of programs and benefits designed to support your physical, financial, and social well-being. Plus, we offer:

• Opportunities to develop new skills and progress your career
• Support and coaching from some of the most engaging and knowledgeable colleagues
• A collaborative environment where everyone works together to create a better working world
• Excellent training and development prospects

Pay

The base salary range for this job in all geographic locations in the US is $46,700 to $95,200. The base salary range for New York City Metro Area, Washington State, and California (excluding Sacramento) is $56,000 to $108,100. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills, and geography.

Schedule

Join us in our team-led and leader-enabled hybrid model. Our expectation is for most people in external, client-serving roles to work together in person 40-60% of the time over the course of an engagement, project, or year.

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.