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

Overview

Location:

Manayunk, Charlotte, San Antonio, Jacksonville, Alpharetta

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 dedicated to the financial services marketplace. Our FSO teams have been at the forefront of events that reshaped and redefined the financial services industry. This practice also has Service Delivery Centers made up of high-performing US-based resources who work with our 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, come join our dynamic FSO team.

The Opportunity

Data has yet to be utilized to its fullest potential. Financial institutions are looking to build smarter and more efficient operations through new opportunities uncovered by their data. You’ll be solving complex problems, and delivering outcomes 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 who can make significant contributions to companies.

• Work with diverse teams of professionals with different skill sets to deliver a wide range of AI and data services.
• Be a team player with strong communication skills and a desire to learn the technical skills required for the role.
• 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 technologies (Hadoop, Spark, etc.) to ingest, process, and analyze large, disparate data sets.

• 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 and machine learning libraries (scikit-learn, Tensor Flow, PyTorch, etc.).
• Extensive experience with cloud platforms such as AWS, Azure, or GCP for deploying and managing ML and AI solutions.
• Strong deep learning experience, particularly in Neural Network architectures for NLP, Computer Vision, and Machine Intelligence.
• Knowledge of MLOps practices for CI/CD of ML models in a cloud environment.
• Good written and verbal communication skills.
• Willingness and ability to travel 0%-25%.
• Valid driver’s license in the US.
• Valid passport.

• Certification in databases, data visualization, or programming/statistical language.
• Knowledge or certifications in cloud technologies such as Snowflake, Databricks, AWS, or Azure.
• Experience developing and deploying Generative AI applications for use cases like text generation, image synthesis, and creative AI.
• Familiarity with cloud-based ML services such as AWS Sage Maker, Google AI Platform, or Azure Machine Learning.

• Competitive compensation and a Total Rewards package including medical and dental coverage, pension and 401(k), and paid time off.
• Opportunities to develop new skills and progress your career; coaching from knowledgeable colleagues.
• A collaborative environment that supports a better working world; excellent training and development prospects.

As a global leader in assurance, tax, transaction, and advisory services, EY hires and develops passionate people to help build a better working world. 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.

EY is committed to providing reasonable accommodation for qualified individuals with disabilities. For assistance applying online or to request accommodations, please contact EY’s Talent Shared Services.