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

EY; Alpharetta (GA); Hybrid; USD 76,200 - 174,100; Full time

Benefits offered by this job

Competitive compensation package

Medical and dental coverage

Pension and 401(k) plans

Paid time off options

Career development opportunities

Job summary

A leading professional services firm is seeking a Manager for their Financial Services Organization to deliver AI and data services. This role involves working with diverse teams to solve complex problems and develop machine learning models. Candidates should have a bachelor's or master's degree in computer science with at least 5 years of experience in AI/ML engineering, along with proficiency in Python and cloud platforms. Opportunities for growth and continuous learning are emphasized.

Qualifications

• Minimum of 5 years of experience in AI/ML engineering or MLE/ML Ops.
• Experience with business and technology concepts.
• Knowledge of MLOps practices for CI/CD.

Responsibilities

• Deliver a wide range of AI and data services.
• Work with diverse teams of professionals.
• Design and build machine learning models.

Skills

Collaborating and mentoring

Great communication skills

Accountability

Building relationships

Technical capabilities

Leading multi-disciplinary teams

Data-driven decision-making

Big data technology

Education

Bachelor's or Master’s degree in computer science or related fields

Tools

Python

AWS

Azure

Google Cloud Platform

Job description

Location

Manayunk, Charlotte, San Antonio, Jacksonville, Alpharetta, Dallas.

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.

Manager – Financial Services Organization – AI and Data Service Delivery Center

EY is the only professional services firm with a separate business unit ("FSO") that is 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 that are made up of high‑performing U.S.‑based resources who work closely with our experienced client‑serving professionals to deliver project‑based work and managed services to our U.S.‑based Financial Services clients.

Opportunity

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, as well as giving deliverables to our clients in the AI and data space. 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.

Key Responsibilities

You will be working with diverse teams of professionals with different skill sets to deliver a wide range of AI and data services. As part of that, you’ll need to be a team player with great communication skills, and have the desire to learn the technical skills required to fill the role.

Skills And Attributes For Success

• Collaborating, mentoring, and coaching teams 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 your internal clients
• Great communication and influencing skills
• Demonstrating in‑depth technical capabilities, professional knowledge, and interest in the financial industry and technology
• Leading and managing multi‑disciplinary teams through a product life cycle – requirements, design, development, and testing
• Designing, building, and maintaining production‑grade ML and DL models, machine learning workflows, and pipelines
• Helping clients make data‑driven decisions by working with structured and unstructured data sets and building out predictive models
• Designing and developing solutions leveraging big data technology (Hadoop, Spark, etc.) to ingest, process, and analyze large, disparate data sets

Qualifications (Must Haves)

• 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 (scikit‑learn, 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
• A willingness and ability to travel at 0%‑25%
• Valid driver’s license in the U.S.
• Valid passport

Preferred 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 various 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 that are passionate about technology, who already have an understanding of data and are comfortable analyzing or manipulating it while generating reports for clients. You’ll also need to be able to clearly articulate both problems and proposed solutions, and have the willingness to learn and quickly adapt to changing requirements. On top of this, 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.

What Working At EY Offers

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

About EY

As a global leader in assurance, tax, transaction, and advisory services, we hire and develop the most passionate people in their field to help build a better working world. This starts with a culture that believes in giving you the training, opportunities, and creative freedom to make things better. So that whenever you join, however long you stay, the exceptional EY experience lasts a lifetime.

Join us in building a better working world. Apply now.

What We Offer You

• 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 base salary range for this job in all geographic locations in the U.S. 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 within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. 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.
• 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.

Ready to Shape Your Future?

Apply today. EY accepts applications for this position on an on‑going basis. For those living in California, please click here for additional information. EY focuses on high‑ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities.

Equal Employment Opportunity

EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, 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 qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY’s Talent Shared Services Team (TSS) or email the TSS at [e-mail].