132 applicants

Company

Original Job Post

EY · 2 days ago

AI/Machine Learning Engineer - Manager - Consulting

New York, NY

Full-time

Onsite

Senior Level

$127K/yr - $234K/yr

6+ years exp

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Responsibilities

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.

Help clients navigate the complex world of modern data science, analytics, and software engineering.

Provide guidance and perform technical development tasks to ensure data science solutions are properly engineered and maintained.

Join a dynamic and interdisciplinary team of scientists and engineers to tackle challenging computational problems.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

PythonGenerative AI modelsML packagesDevOps toolsMachine Learning workflowsMLOps methodsCI/CDTest-driven developmentML modelsCloud computingData structuresData modellingSoftware engineeringData manipulationSQLPandasSparkContainerizationScaling modelsIntegrating modelsQuantitative skillsCalculusLinear algebraStatisticsRJavaScriptJavaC++CGenerative AI

Required

Bachelor's degree and 6-10 years 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

Experience using 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

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

Integrating models and feedback from downstream consumption systems - reporting and dashboards, AI driven applications

Strong mathematical and quantitative skills including calculus, linear algebra, and statistics

Willingness to travel to meet client obligations

Preferred

A deep understanding of and ability to teach concepts, tools, features, functions, and benefits of different approaches to apply them

Master's degree Computer Science, Mathematics, Physical Sciences, or other quantitative field

Experience working with diverse teams to deliver complex solutions

Strong skills in languages beyond Python: R, JavaScript, Java, C++, C

Experience fine-tuning Generative AI models

Benefits

Medical and dental coverage

Pension and 401(k) plans

Flexible vacation policy

Paid time off options

EY Paid Holidays

Winter/Summer breaks

Personal/Family Care leave

Continuous learning opportunities

Transformative leadership development

Diverse and inclusive culture

Company

EY

Glassdoor

3.8

EY exists to build a better working world, helping create long-term value for clients, people and society and build trust in the capital markets.

Founded in 1989

London, England, GBR

10,001+ employees

http://www.ey.com

H1B Sponsorship

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