AI & Machine Learning Engineering Consultant - Manager - Consulting - Location OPEN

EY
San Francisco, US
Remote

Job Description

Location: Anywhere in Country

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.

Technology – Data and Decision Science – AI Native Engineering

AI/Machine Learning Engineer, Manager Consultant

The opportunity

Our Artificial Intelligence and Data team helps apply cutting edge technology and techniques to bring solutions to our clients. As part of that, you'll sit side-by-side with clients and diverse teams from EY to create a well-rounded approach to advising and solving challenging problems, some of which have not been solved before. No two days will be the same, and with constant research and development, you'll find yourself building knowledge that can be applied across a wide range of projects now, and in the future. You'll need to have a passion for continuous learning, stay ahead of the trends, and influence new ways of working so you can position solutions in the most relevant and innovative way for our clients. You can expect heavy client interaction in a fast-paced environment and the opportunity to develop your own career path for your unique skills and ambitions.

In this role, you will research, build, and implement scalable artificial intelligence systems that learn and make predictions tailored to business requirements across various environments, including cloud and on-premises. You will enhance data pipelines and storage, ensuring data is clean, accurate, and optimized for XOps processes. Additionally, you will monitor and evaluate learning processes to continuously improve high-performance models, collaborating with other data and analytics professionals to industrialize analysis into effective analytics solutions.

Your Key Responsibilities

As a Manager in AI Native Engineering, you will play a pivotal role in delivering innovative solutions that drive business success. You will work with a wide variety of clients to deliver the latest data science and big data technologies. Your teams will design and build scalable solutions that unify, enrich, and derive insights from varied data sources across a broad technology landscape. You will help our clients navigate the complex world of modern data science, analytics, and software engineering. We'll look to you to provide guidance and perform technical development tasks to ensure data science solutions are properly engineered and maintained to support the ongoing business needs of our clients.

You will be joining a dynamic and interdisciplinary team of scientists and engineers who love to tackle the most challenging computational problems for our clients. We love to think creatively, build applications efficiently, and collaborate in both the ideation of solutions and the pursuit of new opportunities. Many on our team have advanced academic degrees or equivalent experience in industry.

Your responsibilities will include:

  • Leading workstream delivery and ensuring the effective management of processes and projects.
  • Continuously improving processes by identifying innovative solutions through research and analysis.
  • Managing professional employees and supervising teams to deliver complex technical initiatives, with accountability for performance and results.
  • Engaging actively with clients, participating in daily working sessions, and leading workstreams from planning through execution to closure.
  • Identifying opportunities for additional services and managing engagement economics.

Skills And Attributes For Success

To excel in this role, you will need a blend of technical expertise and strong interpersonal skills. This role will work to deliver tech at speed, innovate at scale and put humans at the center. Provide technical guidance and share knowledge with team members with diverse skills and backgrounds. Consistently deliver quality client services focusing on more complex, judgmental and/or specialized issues surrounding emerging technology. Demonstrate technical capabilities and professional knowledge. Learn about EY and its service lines and actively assess and present ways to apply knowledge and services

The following attributes will make a significant impact:

  • Proven ability to develop solutions to complex problems and recommend changes to policies and procedures.
  • Strong judgment in selecting methods and techniques for obtaining results.
  • Experience in managing client relationships and delivering high-quality service.
  • Ability to lead teams effectively and manage change within the organization.

To qualify for the role, you must have

  • A Bachelor’s degree required (4-year degree).
  • 6-10 years of relevant experience of full-time working experience in AI, Data Science, and/or Machine Learning
  • 2-4 years of experience directly managing technical teams
  • Strong skills in Python
  • Ability lead, collaborate, and communicate effectively with div

Skills & Requirements

Technical Skills

AiMachine learningPythonData scienceBig data technologiesCloud and on-premisesData pipelinesData storageData cleaningData accuracyData optimizationXops processesHigh-performance modelsIndustrializing analysisEffective analytics solutionsScalable solutionsUnifying dataEnriching dataDeriving insightsData science solutionsSoftware engineeringData lifecycleLoggingModelingAnalysisReportingExperimentationA/b testingMultivariate testingData modelsPerformance driversKpi designData-driven innovationData enrichmentAutomationData value chainData practicesData modelingPipeline developmentToolsAirflowBigqueryGoogle cloudStatistical methodsExperiment designProduct data analysisContinuous learningStaying ahead of trendsInfluencing new ways of workingPositioning solutionsClient interactionFast-paced environmentCareer path developmentManaging client relationshipsDelivering high-quality serviceLeading teamsManaging changeMentoringCollaboratingCommunicatingAiMachine learningData scienceBig dataCloud computingOn-premisesData engineeringData analyticsData science solutionsSoftware engineeringData lifecycleData modelingPipeline developmentToolsData practicesStatistical methodsExperiment designProduct data analysis

Employment Type

FULL TIME

Level

manager

Posted

4/9/2026

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