Software Engineer, Frontend
Blueprint
JavaScriptNext.jsReactTypeScript
Senior Manager – Risk AI, Engineering, Consulting
EY
full-time
Posted on:
Location Type: Remote
Location: Remote • New York • 🇺🇸 United States
Visit company websiteSalary
💰 $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
