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Jobs · Engineering · Texas

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

EY · San Antonio, TX · 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%.

Qualifications

  • Valid driver’s license in the US.
  • Valid passport.

Skills

  • 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.
  • Built 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.

Benefits

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, 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.

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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