EY
AI & Machine Learning Engineering Consultant - Manager - Consulting - Location O
EY, Oklahoma City, Oklahoma, United States, 73116
AI & Machine Learning Engineering Consultant - Manager - Consulting - Location OPEN
At EY, 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.
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 bring solutions to our clients. In this role 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. You will research, build, and implement scalable AI systems that learn and predict tailored to business requirements across cloud and on‑premises environments. You will enhance data pipelines and storage, monitor and evaluate learning processes, and collaborate with other data and analytics professionals to industrialize analysis into effective analytics solutions.
Your Key Responsibilities
Lead workstream delivery and manage processes and projects effectively.
Continuously improve processes by identifying innovative solutions through research and analysis.
Manage professional employees and supervise teams to deliver complex technical initiatives with accountability for performance and results.
Engage actively with clients, participate in daily working sessions, and lead workstreams from planning through execution to closure.
Identify opportunities for additional services and manage 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.
Qualifications
Bachelor’s degree required (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 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).
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, and operations research; proficiency in SQL, Pandas, Spark, and deep learning techniques.
Excellent communication skills for conveying findings and recommendations; 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.
Ideal Additional Experience
Deep understanding of and ability to teach concepts, tools, and benefits of different AI 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 managing complex projects with multiple stakeholders.
Strong understanding of industry trends and emerging technologies.
Skills in data visualization and storytelling with data.
Experience with image or speech/audio processing and analysis.
What We Offer
Comprehensive compensation and benefits package, including medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options.
Flexible hybrid model – most external, client‑serving roles work in person 40‑60% of the time.
Flexible vacation policy to suit personal circumstances and eligibility for EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence.
EY accepts applications for this position on an ongoing basis. For those living in California, please click here for additional information.
EY focuses on high‑ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities.
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 during any part of the application process, 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.
EY | Building a better working world
EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.
#J-18808-Ljbffr
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 bring solutions to our clients. In this role 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. You will research, build, and implement scalable AI systems that learn and predict tailored to business requirements across cloud and on‑premises environments. You will enhance data pipelines and storage, monitor and evaluate learning processes, and collaborate with other data and analytics professionals to industrialize analysis into effective analytics solutions.
Your Key Responsibilities
Lead workstream delivery and manage processes and projects effectively.
Continuously improve processes by identifying innovative solutions through research and analysis.
Manage professional employees and supervise teams to deliver complex technical initiatives with accountability for performance and results.
Engage actively with clients, participate in daily working sessions, and lead workstreams from planning through execution to closure.
Identify opportunities for additional services and manage 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.
Qualifications
Bachelor’s degree required (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 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).
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, and operations research; proficiency in SQL, Pandas, Spark, and deep learning techniques.
Excellent communication skills for conveying findings and recommendations; 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.
Ideal Additional Experience
Deep understanding of and ability to teach concepts, tools, and benefits of different AI 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 managing complex projects with multiple stakeholders.
Strong understanding of industry trends and emerging technologies.
Skills in data visualization and storytelling with data.
Experience with image or speech/audio processing and analysis.
What We Offer
Comprehensive compensation and benefits package, including medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options.
Flexible hybrid model – most external, client‑serving roles work in person 40‑60% of the time.
Flexible vacation policy to suit personal circumstances and eligibility for EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence.
EY accepts applications for this position on an ongoing basis. For those living in California, please click here for additional information.
EY focuses on high‑ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities.
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 during any part of the application process, 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.
EY | Building a better working world
EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.
#J-18808-Ljbffr