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

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

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 (“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 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!

The 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.

Your

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

To qualify for the role you must have

• 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, Tensor Flow, 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 US
• Valid passport

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
• Practical experience…