AI & Machine Learning Engineering Consultant - Senior - Consulting - Location OPEN
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About the role
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.
The opportunity Our AI, Data & Engineering 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. As a Senior AI Engineer, you will be at the forefront of revolutionizing how businesses leverage artificial intelligence. Your role will involve researching, building, and implementing scalable AI, machine learning, generative AI, and agentic systems that learn, reason, and generate outputs tailored to diverse business environments, whether in the cloud or on-premises. You will enhance data pipelines to ensure data integrity and optimize learning processes, all while collaborating with a talented team of data and analytics professionals.
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Responsibilities
You will work with a wide variety of clients to deliver modern AI engineering, machine learning, and generative AI 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 AI solutions are responsibly engineered, evaluated, deployed, 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.
- Researching and implementing scalable machine learning, generative AI, and agentic systems that meet business requirements.
- Enhancing data pipelines and storage for optimal data accuracy and cleanliness.
- Evaluating, monitoring, and optimizing learning processes to improve high-performance models.
This position may have travel requirements as needed to engage with external clients regularly.
Requirements
- A Bachelor’s degree required (4-year degree).
- 3-6 years of full-time working experience in AI and/or Machine Learning.
- Strong skills in Python.
- Ability to collaborate and communicate effectively with diverse, hybrid and global teams.
- Experience designing, building, and maintaining high-impact, high-value production AI/ML solutions on a major cloud platform.
- Proficient in foundation models, generative AI, and agentic AI frameworks (e.g., OpenAI, Dall-e, Langchain, Retrieval Augmented Generation (RAG)) and experienced with ML packages like scikit-learn and PyTorch.
- Experience with natural language processing and deep learning.
- Extensive experience in DevOps tools (GIT, Azure DevOps), Agile methodologies (Jira), and CI/CD pipelines for developing, deploying, and scaling analytical solutions.
- Experience with MLOps, LLMOps, and AgentOps and ML workflows, including data ingestion, transformation, and evaluation.
- Experience with model retraining and feedback loop methodologies.
- Experience with model and solution evaluation, observability, monitoring and reporting.
- Understanding of data structures, Responsible AI practices, and data modelling, and software engineering best practices.
- Strong foundation in mathematics, statistics, and operations research, with proficiency in data manipulation tools (SQL, Pandas, Spark) and deep learning techniques.
- Excellent communication skills for conveying findings and recommendations, with a willingness to travel for client engagements.
Qualifications
- Master's degree Computer Science, Mathematics, Physical Sciences, or another quantitative field.
- Experience in hybrid collaboration and emotional agility.
- A track record of working with diverse teams to drive outcomes through complex problem-solving.
- Knowledge of sustainability practices in technology.
- A deep understanding of and ability to teach concepts, tools, features, functions, and benefits of different approaches to apply them.
- Strong skills in languages beyond Python: R, JavaScript, Java, C++, C.
- Experience fine-tuning Generative AI models.
- Experience with image processing techniques and/or speech and audio processing and analysis.
Skills
- 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.
- Strong analytical and decision-making skills to guide
for prose. We need to decide what content goes into lists vs paragraphs. For each section, we can have prose (
) describing, and then a
- for bullet lists.
We must preserve all substantive information; do not invent or summarize away detail. So we need to include each bullet point as a list item.
We need to avoid repeating content.
Let's structure:
- Researching and implementing scalable machine learning, generative AI, and agentic systems that meet business requirements.
- Enhancing data pipelines and storage for optimal data accuracy and cleanliness.
- Evaluating, monitoring, and optimizing learning processes to improve high-performance models.
- A Bachelor’s degree required (4-year degree).
- 3-6 years of full-time working experience in AI and/or Machine Learning.
- Strong skills in Python.
- Ability to collaborate and communicate effectively with diverse, hybrid and global teams.
- Experience designing, building, and maintaining high-impact, high-value production AI/ML solutions on a major cloud platform.
- Proficient in foundation models, generative AI, and agentic AI frameworks (e.g., OpenAI, Dall-e, Langchain, Retrieval Augmented Generation (RAG)) and experienced with ML packages like scikit-learn and PyTorch.
- Experience with natural language processing and deep learning.
- Extensive experience in DevOps tools (GIT, Azure DevOps), Agile methodologies (Jira), and CI/CD pipelines for developing, deploying, and scaling analytical solutions.
- Experience with MLOps, LLMOps, and AgentOps and ML workflows, including data ingestion, transformation, and evaluation.
- Experience with model retraining and feedback loop methodologies.
- Experience with model and solution evaluation, observability, monitoring and reporting.
- Understanding of data structures, Responsible AI practices, and data modelling, and software engineering best practices.
- Strong foundation in mathematics, statistics, and operations research, with proficiency in data manipulation tools (SQL, Pandas, Spark) and deep learning techniques.
- Excellent communication skills for conveying findings and recommendations, with a willingness to travel for client engagements.
- Master's degree Computer Science, Mathematics, Physical Sciences, or another quantitative field.
- Experience in hybrid collaboration and emotional agility.
- A track record of working with diverse teams to drive outcomes through complex problem-solving.
- Knowledge of sustainability practices in technology.
- A deep understanding of and ability to teach concepts, tools, features, functions, and benefits of different approaches to apply them.
- Strong skills in languages beyond Python: R, JavaScript, Java, C++, C.
- Experience fine-tuning Generative AI models.
- Experience with image processing techniques and/or speech and audio processing and analysis.
- 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.
- Strong analytical and decision-making skills to guide
About the role
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.
The opportunity Our AI, Data & Engineering 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. As a Senior AI Engineer, you will be at the forefront of revolutionizing how businesses leverage artificial intelligence. Your role will involve researching, building, and implementing scalable AI, machine learning, generative AI, and agentic systems that learn, reason, and generate outputs tailored to diverse business environments, whether in the cloud or on-premises. You will enhance data pipelines to ensure data integrity and optimize learning processes, all while collaborating with a talented team of data and analytics professionals.
But we might split into two paragraphs; that's fine.Responsibilities
You will work with a wide variety of clients to deliver modern AI engineering, machine learning, and generative AI 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 AI solutions are responsibly engineered, evaluated, deployed, 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.
This position may have travel requirements as needed to engage with external clients regularly.