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Jobs · Engineering · Georgia

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

EY · Alpharetta, GA · 1 wk ago
On-siteEngineering$76k–$174k/yrFull-time

About the role

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.

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.

Requirements

  • 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

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

Benefits

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.

Pay

The base salary range for this job in all geographic locations in the US 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.

Schedule

We expect 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.

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