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

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

About the role

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 reshaping and redefining the financial services industry. This practice includes several Service Delivery Centers with high-performing US-based resources who work closely with experienced client-serving professionals to deliver project-based work and managed services to US-based Financial Services clients.

If you have a passion for rallying together to solve the most complex challenges in the financial services industry, join our dynamic FSO team. You’ll help financial institutions build smarter, more efficient operations by uncovering new opportunities through data. This role involves solving complex problems and delivering AI and data solutions to clients, with support from a highly talented team and significant growth opportunities focused on continuous learning and skills development.

Responsibilities

• Work with diverse teams of professionals to deliver a wide range of AI and data services.
• Collaborate, mentor, and coach teams with varied skills and backgrounds.
• Foster an innovative and inclusive team-oriented work environment.
• Be accountable for the success of your team and project components.
• Build strong relationships with internal clients.
• Lead and manage multi-disciplinary teams through a product life cycle—requirements, design, development, and testing.
• 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.
• 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 5 years of related work experience in AI/ML engineering or MLE/ML Ops.
• Experience working with business, management, and technology concepts.
• Proficiency in Python programming and associated machine learning libraries/packages (sklearn, TensorFlow, PyTorch, etc.).
• Extensive experience with cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP) for deploying and managing ML and AI solutions.
• Strong deep learning experience, particularly in applications of Neural Network architectures to Natural Language Processing, Computer Vision, and Machine Intelligence.
• Knowledge of MLOps practices for continuous integration and continuous deployment (CI/CD) of machine learning models in a cloud environment.
• Good written and verbal communication skills.
• Willingness and ability to travel at 0%-25%.
• Valid driver’s license in the US.
• Valid passport.

Skills

• Great communication and influencing skills.
• Demonstrated in-depth technical capabilities, professional knowledge, and interest in the financial industry and technology.

Ideal Qualifications

• 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.
• Practical experience in developing and deploying Generative AI applications for use cases such as text generation, image synthesis, and creative AI.
• Familiarity with cloud-based machine learning services like AWS SageMaker, Google AI Platform, or Azure Machine Learning.

What We Look For

We’re interested in professionals passionate about technology, with an understanding of data and comfort in analyzing or manipulating it while generating reports for clients. You should be able to clearly articulate both problems and proposed solutions, and have the willingness to learn and quickly adapt to changing requirements. We seek team players and hard workers who take initiative to master their craft and produce high-quality work. If you have a proactive approach and want to be part of a growing team, this role is for you.

Benefits

• Competitive compensation package with performance-based rewards.
• Total Rewards package including medical and dental coverage, pension and 401(k) plans.
• Minimum of 15 days of vacation plus ten observed holidays and three paid personal days.
• Range of programs and benefits designed to support physical, financial, and social well-being.
• Opportunities to develop new skills and progress your career.
• Support and coaching from engaging and knowledgeable colleagues.
• 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 $76,200 to $174,100. The base salary range for New York City Metro Area, Washington State, and California (excluding Sacramento) is $91,400 to $197,900. Individual salaries are determined by factors including education, experience, knowledge, skills, and geography.

Schedule

• Team-led and leader-enabled hybrid model with an expectation to work in person 40-60% of the time over the course of an engagement, project, or year.
• Flexible vacation policy allowing you to decide how much vacation time you need based on personal circumstances.
• Time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed.