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Jobs · Engineering · North Carolina

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

EY · Charlotte, NC · Yesterday
On-siteEngineering$47k–$95k/yrFull-time

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

About the role

At EY, we’re dedicated to shaping your future with confidence. Our Financial Services Office (FSO) is a separate business unit focused on the financial services marketplace, with teams at the forefront of reshaping the industry. Our Service Delivery Centers consist of high-performing US-based resources who collaborate with client-serving professionals to deliver project-based work and managed services to US-based Financial Services clients. If you’re passionate about solving complex challenges in the financial services industry, join our dynamic FSO team.

Data has yet to be utilized to its fullest potential. Financial institutions seek smarter, more efficient ways to operate through data-driven opportunities. You’ll tackle complex problems and deliver AI and data solutions to clients. With support from a highly talented team, you’ll have growth opportunities focused on continuous learning and skills development to become a leader in the field.

Responsibilities

  • Collaborate with diverse teams of professionals to deliver a wide range of AI and data services.
  • Design, build, and maintain production-grade machine learning (ML) and deep learning (DL) models, 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 (e.g., data mining, statistics, machine learning, natural language processing).
  • Design and develop solutions leveraging big data technologies (Hadoop, Spark, etc.) to ingest, process, and analyze large, disparate data sets.
  • Foster an innovative and inclusive team-oriented work environment.
  • Build strong relationships with internal clients and demonstrate accountability for team and project success.
  • Communicate effectively and influence stakeholders with in-depth technical capabilities and professional knowledge.

Requirements

  • A bachelor's or master’s degree in computer science, information systems, or related technology fields.
  • 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 (e.g., scikit-learn, TensorFlow, PyTorch).
  • Experience applying 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 and a valid passport.

Preferred Qualifications

  • Certification in database management systems, reporting, data visualization, or programming/statistical languages.
  • 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.

Skills

  • Collaborating with diverse skills and backgrounds.
  • Fostering an innovative and inclusive team-oriented work environment.
  • Accountability for team and project success.
  • Building strong relationships with internal clients.
  • Great communication and influencing skills.
  • Demonstrating in-depth technical capabilities and professional knowledge in the financial industry and technology.

What We Look For

We seek professionals passionate about technology, with a strong understanding of data and comfort in analyzing or manipulating it to generate client reports. You should be able to clearly articulate problems and proposed solutions, adapt quickly to changing requirements, and thrive in a team-oriented environment. Hard workers who take initiative to master their craft and produce high-quality work are ideal. If you have a proactive approach and want to be part of a rapidly 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.
  • Programs and benefits supporting 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 focused on creating a better working world.
  • Excellent training and development prospects.

Pay

The base salary range for this job in most US geographic locations is $46,700 to $95,200. For New York City Metro Area, Washington State, and California (excluding Sacramento), the range is $56,000 to $108,100. 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.
  • Designated EY Paid Holidays, Winter/Summer breaks, and Personal/Family Care time off to support well-being.

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