EY
AI & Machine Learning Engineering Consultant - Manager - Consulting - Location O
EY, Kansas City, Missouri, United States, 64101
AI & Machine Learning Engineering Consultant – Manager – Consulting – Location OPEN
Apply for the
AI & Machine Learning Engineering Consultant – Manager – Consulting – Location OPEN
role at
EY .
Location: Anywhere in Country
At EY we shape your future with confidence and help you succeed in a globally connected powerhouse of diverse teams. Join us to build a better working world.
Technology – Data and Decision Science – AI Native Engineering AI/Machine Learning Engineer, Manager Consultant The Opportunity Our Artificial Intelligence and Data team applies cutting‑edge technology and techniques to deliver solutions to clients. You will 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.
In this role you will research, build, and implement scalable AI 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, ensure data is clean, accurate, and optimized, and monitor and evaluate learning processes to continuously improve high‑performance models.
Your Key Responsibilities As a Manager in AI Native Engineering, you will deliver innovative solutions that drive business success, work with clients, design and build scalable solutions that unify, enrich, and derive insights from varied data sources, and guide teams to ensure data science solutions are properly engineered.
Your responsibilities will include:
Leading workstream delivery and ensuring 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 Provide technical guidance, share knowledge, consistently deliver quality client services on complex, judgmental issues surrounding emerging technology, and innovate at scale.
The following attributes will make a significant impact:
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 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.
Proficient in Generative AI models and frameworks (e.g., OpenAI, DALL‑E, Langchain, Retrieval Augmented Generation) 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.
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, operations research, and proficiency in data manipulation tools (SQL, Pandas, Spark).
Excellent communication skills for conveying findings and recommendations, and 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 not only technically proficient but also possess critical and creative thinking, 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 empower you in a flexible environment and fuel your extraordinary talents in a diverse and inclusive culture of globally connected teams.
Competitive compensation and benefits package. The base salary range in the US is $125,500 to $230,200. Additional incentives and benefits include medical and dental coverage, pension and 401(k) plans, and a wide range of paid time‑off options.
Hybrid model: most external client‑serving roles work in person 40‑60% of the time.
Flexible vacation policy allowing you to decide how much vacation you need, with additional paid holidays and leaves.
Are you ready to shape your future with confidence? Apply today. EY accepts applications for this position on an on‑going basis.
For those living in California, please click here for additional information.
Equal Employment Opportunity 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. If you have a disability and need assistance applying online or request an accommodation, please call 1‑800‑EY‑HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY’s Talent Shared Services Team (TSS) or email the TSS at ssc.customersupport@ey.com.
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AI & Machine Learning Engineering Consultant – Manager – Consulting – Location OPEN
role at
EY .
Location: Anywhere in Country
At EY we shape your future with confidence and help you succeed in a globally connected powerhouse of diverse teams. Join us to build a better working world.
Technology – Data and Decision Science – AI Native Engineering AI/Machine Learning Engineer, Manager Consultant The Opportunity Our Artificial Intelligence and Data team applies cutting‑edge technology and techniques to deliver solutions to clients. You will 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.
In this role you will research, build, and implement scalable AI 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, ensure data is clean, accurate, and optimized, and monitor and evaluate learning processes to continuously improve high‑performance models.
Your Key Responsibilities As a Manager in AI Native Engineering, you will deliver innovative solutions that drive business success, work with clients, design and build scalable solutions that unify, enrich, and derive insights from varied data sources, and guide teams to ensure data science solutions are properly engineered.
Your responsibilities will include:
Leading workstream delivery and ensuring 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 Provide technical guidance, share knowledge, consistently deliver quality client services on complex, judgmental issues surrounding emerging technology, and innovate at scale.
The following attributes will make a significant impact:
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 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.
Proficient in Generative AI models and frameworks (e.g., OpenAI, DALL‑E, Langchain, Retrieval Augmented Generation) 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.
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, operations research, and proficiency in data manipulation tools (SQL, Pandas, Spark).
Excellent communication skills for conveying findings and recommendations, and 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 not only technically proficient but also possess critical and creative thinking, 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 empower you in a flexible environment and fuel your extraordinary talents in a diverse and inclusive culture of globally connected teams.
Competitive compensation and benefits package. The base salary range in the US is $125,500 to $230,200. Additional incentives and benefits include medical and dental coverage, pension and 401(k) plans, and a wide range of paid time‑off options.
Hybrid model: most external client‑serving roles work in person 40‑60% of the time.
Flexible vacation policy allowing you to decide how much vacation you need, with additional paid holidays and leaves.
Are you ready to shape your future with confidence? Apply today. EY accepts applications for this position on an on‑going basis.
For those living in California, please click here for additional information.
Equal Employment Opportunity 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. If you have a disability and need assistance applying online or request an accommodation, please call 1‑800‑EY‑HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY’s Talent Shared Services Team (TSS) or email the TSS at ssc.customersupport@ey.com.
#J-18808-Ljbffr