NZZone
AI & Machine Learning Engineer - Senior - Consulting - Location OPEN
NZZone, New York, New York, us, 10261
Job DescriptionRequisition ID:
1531103
At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture, and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better. Join us and build an exceptional experience for yourself, and a better working world for all.
AI/Machine Learning Engineer, Senior 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. You'll need to have a passion for continuous learning, stay ahead of the trends, and influence new ways of working to 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.
Skills and attributes for success
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.
To qualify for the role you must have
Bachelor's degree and 3-6 years of full-time working experience in AI and/or Machine Learning
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.
A solid understanding of Machine Learning (ML) workflows including ingesting, analyzing, 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 modeling, 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.
Ideally, you'll also have
A deep understanding of and ability to teach concepts, tools, features, functions, and benefits of different approaches to apply them.
Master's degree in 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.
What we look for
You have an agile, growth-oriented mindset.
You are curious and purpose-driven.
You are inclusive.
#J-18808-Ljbffr
1531103
At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture, and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better. Join us and build an exceptional experience for yourself, and a better working world for all.
AI/Machine Learning Engineer, Senior 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. You'll need to have a passion for continuous learning, stay ahead of the trends, and influence new ways of working to 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.
Skills and attributes for success
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.
To qualify for the role you must have
Bachelor's degree and 3-6 years of full-time working experience in AI and/or Machine Learning
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.
A solid understanding of Machine Learning (ML) workflows including ingesting, analyzing, 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 modeling, 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.
Ideally, you'll also have
A deep understanding of and ability to teach concepts, tools, features, functions, and benefits of different approaches to apply them.
Master's degree in 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.
What we look for
You have an agile, growth-oriented mindset.
You are curious and purpose-driven.
You are inclusive.
#J-18808-Ljbffr