Service Delivery Center, AI & Data, Machine Learning Engineer (MLE) - Manager jobs in United States
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EY · 2 weeks ago

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

EY is a global leader in assurance, tax, transaction, and advisory services. They are seeking a Manager in the AI & Data Service Delivery Center to lead teams in delivering AI and data services to financial institutions, while fostering a collaborative and innovative work environment.

AccountingAdviceBusiness IntelligenceConsultingFinancial ServicesProfessional Services
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Growth Opportunities
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H1B Sponsor Likelynote

Responsibilities

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

Qualification

Machine Learning EngineeringDeep LearningCloud PlatformsPython ProgrammingMLOps PracticesBig Data TechnologiesCoachingCommunication SkillsTeam CollaborationMentoringProblem Solving

Required

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
A willingness and ability to travel at 0%-25%
Valid driver's license in the US
Valid passport

Preferred

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

Benefits

Medical and dental coverage
Pension and 401(k) plans
A minimum of 15 days of vacation plus ten observed holidays and three paid personal days
A wide range of paid time off options
Flexible vacation policy

Company

EY is building a better working world by creating new value for clients, people, society, the planet, while building trust in the capital markets.

H1B Sponsorship

EY has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (10242)
2024 (9877)
2023 (10966)
2022 (9394)
2021 (5652)
2020 (8849)

Funding

Current Stage
Late Stage

Leadership Team

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Jonathan Williamson
Chief Operating Officer
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Abhishek Sen
Partner
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Company data provided by crunchbase