EY
AI & Machine Learning Engineering Consultant - Manager - Consulting - Location O
EY, Portland, Oregon, United States, 97204
AI & Machine Learning Engineering Consultant – Manager – Consulting – Location OPEN
Join to apply for the
AI & Machine Learning Engineering Consultant – Manager – Consulting – Location OPEN
role at
EY .
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.
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
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 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 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 modeling 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 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 Offer You
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.
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.
EY focuses on high‑ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities.
EY | Building a better working world
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 either need assistance applying online or need to 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.
Seniority Level Mid‑Senior level
Employment Type Full‑time
Job Function Other
Industries Professional Services
#J-18808-Ljbffr
AI & Machine Learning Engineering Consultant – Manager – Consulting – Location OPEN
role at
EY .
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.
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
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 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 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 modeling 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 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 Offer You
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.
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.
EY focuses on high‑ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities.
EY | Building a better working world
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 either need assistance applying online or need to 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.
Seniority Level Mid‑Senior level
Employment Type Full‑time
Job Function Other
Industries Professional Services
#J-18808-Ljbffr