EY

Senior Manager – Risk AI, Engineering, Consulting

EY

full-time

Posted on:

Location Type: Remote

Location: Remote • New York • 🇺🇸 United States

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Salary

💰 $144,000 - $329,100 per year

Job Level

Senior

Tech Stack

AzureCloudOpen SourcePandasPythonPyTorchScikit-LearnSparkSQL

About the role

  • Help our clients develop and realize their ambition to leverage AI at scale and drive better business outcomes, with a specific focus on risk consulting
  • Work with a wide variety of clients to deliver the latest data science and big data technologies
  • Design and build scalable solutions that unify, enrich, and derive insights from varied data sources across a broad technology landscape
  • Help clients navigate the complex world of modern data science, analytics, and software engineering, with a deep understanding of internal audit, internal controls, and compliance
  • Lead a team working with a wide variety of clients to define, develop and operationalize their AI strategy at scale.

Requirements

  • Bachelor’s degree, or MS degree in Business or Economics, Technology Entrepreneurship, Computer Science, Informatics, Statistics, Applied Mathematics, Data Science, or Machine Learning
  • Minimum of 8-10+ years of professional consulting experience in business or technology consulting or similar roles
  • Minimum of 3-5+ years of experience directly managing technical teams and/or consulting teams
  • Experience using and managing the deployment of Generative AI models and frameworks e.g. OpenAI family, open source LLMs, Dall-e, LlamaIndex, Langchain, Retrieval Augmented Generation (RAG)
  • Experience working with popular ML packages such as scikit-learn, Pytorch and ONNX, or related ML libraries
  • Extensive experience using DevOps tools like GIT, Azure Devops and Agile tools such as Jira to develop and deploy analytical solutions with multiple features, pipelines, and releases
  • A solid understanding of Machine Learning (ML) workflows including ingesting, analysing, transforming data and evaluating results to make meaningful predictions
  • Experience with MLOps methods and platforms such as MLFlow
  • Strong skills in Python
  • Experience with CI/CD and test-driven development
  • Experience designing, building, and maintaining ML models, frameworks, and pipelines
  • Experience designing and deploying end to end ML workflows on at least one major cloud computing platform
  • Understanding of data structures, data modelling and software engineering best practices
  • Proficiency using data manipulation tools and libraries such as SQL, Pandas, and Spark
  • Clearly communicating findings, recommendations, and opportunities to improve data systems and solutions
  • Experience with containerization and scaling models
  • Willingness to travel to meet client obligations
  • Strong knowledge of AI technologies and frameworks
  • Excellent analytical, problem-solving, and communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders
  • Demonstrated leadership and project management experience, with the ability to lead multidisciplinary teams and drive successful outcomes.
Benefits
  • medical and dental coverage
  • pension and 401(k) plans
  • paid time off options
  • flexible vacation policy
  • designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
Generative AIOpenAIDall-eLlamaIndexLangchainRetrieval Augmented Generationscikit-learnPytorchONNXPython
Soft skills
analytical skillsproblem-solvingcommunication skillsleadershipproject managementarticulating technical conceptsteam managementclient engagementcollaborationadaptability