EY
AI & Machine Learning Engineering Consultant - Manager - Consulting - Location O
EY, Boston, Massachusetts, us, 02298
AI & Machine Learning Engineering Consultant - Manager - Consulting
Location: Anywhere in Country
At EY, we’re all in to shape your future with confidence. We 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 build a better working world.
The opportunity Our Artificial Intelligence and Data team applies cutting‑edge technology and techniques to deliver solutions for clients. You’ll sit side‑by‑side with clients and diverse EY teams 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 build knowledge that can be applied across a wide range of projects now and in the future. You’ll need passion for continuous learning, stay ahead of trends, and influence new ways of working to position solutions in the most relevant and innovative way for clients. Heavy client interaction in a fast‑paced environment and the opportunity to develop your own career path for your unique skills and ambitions.
Your Key Responsibilities
Leading workstream delivery and ensuring the effective management of processes and projects.
Continuously improving processes by identifying innovative solutions through research and analysis.
Managing professional employees and supervising teams to deliver complex technical initiatives, with accountability for performance and results.
Engaging actively with clients, participating in daily working sessions, and leading workstreams from planning through execution to closure.
Identifying opportunities for additional services and managing engagement economics.
Skills and Attributes for Success
Proven ability to develop solutions to complex problems and recommend changes to policies and procedures.
Strong judgment in selecting methods and techniques for obtaining results.
Experience in managing client relationships and delivering high‑quality service.
Ability to lead teams effectively and manage change within the organization.
To qualify for the role, you must have
A Bachelor’s degree required (4‑year degree).
6‑10 years of relevant experience 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.
Ability lead, 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 Generative AI models and 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 and ML workflows, including data ingestion, transformation, and evaluation.
Experience with model retraining and feedback loop methodologies.
Experience with model and solution monitoring and reporting.
Understanding of data structures, 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.
Skills in Technical Design Optimization.
Strong relationship‑building skills.
Demonstrated client trust and value.
Digital fluency and emotional agility.
Commercial acumen and negotiation skills.
Proven ability to lead teams and manage change.
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 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.
Experience in managing complex projects with multiple stakeholders.
A strong understanding of industry trends and emerging technologies.
Skills in data visualization and storytelling with data.
Experience with image processing techniques and/or speech and audio processing and analysis.
What We Look For We seek individuals who are not only technically proficient but also possess the ability to think critically and creatively. Top performers demonstrate a commitment to excellence, a collaborative spirit, and a passion for driving innovation in the field of AI and data science. Your ability to collaborate effectively and communicate with clarity will set you apart as a leader in our team.
What We Offer You At EY, we’ll develop you with future‑focused skills and equip you with world‑class experiences. We’ll empower you in a flexible environment and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more.
We offer a comprehensive compensation and benefits package where you’ll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $125,500 to $230,200. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $150,700 to $261,600. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options.
Join us in our team‑led and leader‑enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40‑60% of the time over the course of an engagement, project or year.
Under our flexible vacation policy, you’ll decide how much vacation time you need based on your own personal circumstances. You’ll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well‑being.
Seniority level Mid‑Senior level
Employment type Full‑time
Job function Other
Industries Professional Services
Are you ready to shape your future with confidence? Apply today. #J-18808-Ljbffr
At EY, we’re all in to shape your future with confidence. We 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 build a better working world.
The opportunity Our Artificial Intelligence and Data team applies cutting‑edge technology and techniques to deliver solutions for clients. You’ll sit side‑by‑side with clients and diverse EY teams 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 build knowledge that can be applied across a wide range of projects now and in the future. You’ll need passion for continuous learning, stay ahead of trends, and influence new ways of working to position solutions in the most relevant and innovative way for clients. Heavy client interaction in a fast‑paced environment and the opportunity to develop your own career path for your unique skills and ambitions.
Your Key Responsibilities
Leading workstream delivery and ensuring the effective management of processes and projects.
Continuously improving processes by identifying innovative solutions through research and analysis.
Managing professional employees and supervising teams to deliver complex technical initiatives, with accountability for performance and results.
Engaging actively with clients, participating in daily working sessions, and leading workstreams from planning through execution to closure.
Identifying opportunities for additional services and managing engagement economics.
Skills and Attributes for Success
Proven ability to develop solutions to complex problems and recommend changes to policies and procedures.
Strong judgment in selecting methods and techniques for obtaining results.
Experience in managing client relationships and delivering high‑quality service.
Ability to lead teams effectively and manage change within the organization.
To qualify for the role, you must have
A Bachelor’s degree required (4‑year degree).
6‑10 years of relevant experience 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.
Ability lead, 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 Generative AI models and 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 and ML workflows, including data ingestion, transformation, and evaluation.
Experience with model retraining and feedback loop methodologies.
Experience with model and solution monitoring and reporting.
Understanding of data structures, 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.
Skills in Technical Design Optimization.
Strong relationship‑building skills.
Demonstrated client trust and value.
Digital fluency and emotional agility.
Commercial acumen and negotiation skills.
Proven ability to lead teams and manage change.
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 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.
Experience in managing complex projects with multiple stakeholders.
A strong understanding of industry trends and emerging technologies.
Skills in data visualization and storytelling with data.
Experience with image processing techniques and/or speech and audio processing and analysis.
What We Look For We seek individuals who are not only technically proficient but also possess the ability to think critically and creatively. Top performers demonstrate a commitment to excellence, a collaborative spirit, and a passion for driving innovation in the field of AI and data science. Your ability to collaborate effectively and communicate with clarity will set you apart as a leader in our team.
What We Offer You At EY, we’ll develop you with future‑focused skills and equip you with world‑class experiences. We’ll empower you in a flexible environment and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more.
We offer a comprehensive compensation and benefits package where you’ll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $125,500 to $230,200. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $150,700 to $261,600. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options.
Join us in our team‑led and leader‑enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40‑60% of the time over the course of an engagement, project or year.
Under our flexible vacation policy, you’ll decide how much vacation time you need based on your own personal circumstances. You’ll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well‑being.
Seniority level Mid‑Senior level
Employment type Full‑time
Job function Other
Industries Professional Services
Are you ready to shape your future with confidence? Apply today. #J-18808-Ljbffr