EY
AI & Machine Learning Engineering Consultant - Manager - Consulting - Location O
EY, Denver, Colorado, United States, 80285
AI & Machine Learning Engineering Consultant – Manager – Consulting – Location OPEN
Location: Anywhere in Country
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.
Technology – Data and Decision Science – AI Native Engineering Job Title AI/Machine Learning Engineer, Manager 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. No two days will be the same, and with constant research and development, you will build knowledge that can be applied across a wide range of projects now and in the future.
In this role, you will research, build, and implement scalable artificial intelligence systems that learn and make predictions tailored to business requirements across various environments, including cloud and on‑premises. You will enhance data pipelines and storage, ensuring data is clean, accurate, and optimized for XOps processes. Additionally, you will monitor and evaluate learning processes to continuously improve high‑performance models, collaborating with other data and analytics professionals to industrialize analysis into effective analytics solutions.
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 To excel in this role, you will need a blend of technical expertise and strong interpersonal skills. The role will 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. Demonstrate technical capabilities and professional knowledge.
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 (4‑year degree).
6‑10 years of relevant full‑time experience in AI, Data Science, and/or Machine Learning.
2‑4 years of experience directly managing technical teams.
Strong skills in Python.
Ability to 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.
Proficiency in Generative AI models and frameworks (e.g., OpenAI, DALL·E, LangChain, Retrieval‑augmented Generation) and experience 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 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.
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.
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 technically proficient and think critically and creatively. Top performers demonstrate a commitment to excellence, a collaborative spirit, and a passion for driving innovation in AI and data science.
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 your talents in a diverse and inclusive culture of globally connected teams.
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 role in all geographic locations in the U.S. is $125,500 to $230,200. The base salary range for the 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 that most people in external, client‑serving roles will 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.
Are you ready to shape your future with confidence? Apply today.
EY accepts applications for this position on an ongoing basis.
Equal Opportunity Statement EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law.
EY is committed to providing reasonable accommodation to qualified individuals with disabilities, including veterans with disabilities.
#J-18808-Ljbffr
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.
Technology – Data and Decision Science – AI Native Engineering Job Title AI/Machine Learning Engineer, Manager 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. No two days will be the same, and with constant research and development, you will build knowledge that can be applied across a wide range of projects now and in the future.
In this role, you will research, build, and implement scalable artificial intelligence systems that learn and make predictions tailored to business requirements across various environments, including cloud and on‑premises. You will enhance data pipelines and storage, ensuring data is clean, accurate, and optimized for XOps processes. Additionally, you will monitor and evaluate learning processes to continuously improve high‑performance models, collaborating with other data and analytics professionals to industrialize analysis into effective analytics solutions.
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 To excel in this role, you will need a blend of technical expertise and strong interpersonal skills. The role will 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. Demonstrate technical capabilities and professional knowledge.
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 (4‑year degree).
6‑10 years of relevant full‑time experience in AI, Data Science, and/or Machine Learning.
2‑4 years of experience directly managing technical teams.
Strong skills in Python.
Ability to 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.
Proficiency in Generative AI models and frameworks (e.g., OpenAI, DALL·E, LangChain, Retrieval‑augmented Generation) and experience 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 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.
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.
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 technically proficient and think critically and creatively. Top performers demonstrate a commitment to excellence, a collaborative spirit, and a passion for driving innovation in AI and data science.
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 your talents in a diverse and inclusive culture of globally connected teams.
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 role in all geographic locations in the U.S. is $125,500 to $230,200. The base salary range for the 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 that most people in external, client‑serving roles will 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.
Are you ready to shape your future with confidence? Apply today.
EY accepts applications for this position on an ongoing basis.
Equal Opportunity Statement EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law.
EY is committed to providing reasonable accommodation to qualified individuals with disabilities, including veterans with disabilities.
#J-18808-Ljbffr