EY
AI & Machine Learning Engineering Consultant - Manager - Consulting - Location O
EY, Greenville, South Carolina, us, 29610
AI & Machine Learning Engineering Consultant – Manager – Consulting – Location OPEN
Join EY as an AI & Machine Learning Engineering Consultant – Manager – Consulting – Location OPEN. The role is open for new applicants. Location
Anywhere in Country About EY
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. Technology – Data and Decision Science – AI Native Engineering
Role Overview
Our Artificial Intelligence and Data team applies cutting‑edge technology and techniques to deliver client solutions. You will sit side‑by‑side with clients and EY teams to craft comprehensive approaches to challenging problems, many of which have not been solved before. Your work will span research, development and deployment of scalable AI systems across cloud and on‑premises environments. You will enhance data pipelines, optimize data for XOps processes, and continually refine high‑performance models. Heavy client interaction in a fast‑paced environment will be expected. Your Key Responsibilities
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
To excel in this role, you will need a blend of technical expertise and strong interpersonal skills. This role will work to deliver tech at speed, innovate at scale and put humans at the center. You will provide technical guidance and share knowledge with team members of diverse skills and backgrounds. Demonstrate technical capabilities, professional knowledge, and experience with EY service lines. Learn about EY and its service lines and actively assess and present ways to apply knowledge and services. 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 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 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. 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 in the US is $125,500 to $230,200. For New York City, Washington State and California (excluding Sacramento) it is $150,700 to $261,600. Additional benefits include medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options. We work in a hybrid model; most people in external client‑serving roles work together in person 40‑60% of the time over the course of an engagement, project or year. Flexible vacation policy that allows you to decide how much vacation time you need based on your personal circumstances. Time off for EY Paid Holidays, winter/summer breaks, personal/family care and other leaves of absence is also available. Are you ready to shape your future with confidence?
Apply today. EY accepts applications for this position on an ongoing basis. For those living in California, additional information is available. 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 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.
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Join EY as an AI & Machine Learning Engineering Consultant – Manager – Consulting – Location OPEN. The role is open for new applicants. Location
Anywhere in Country About EY
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. Technology – Data and Decision Science – AI Native Engineering
Role Overview
Our Artificial Intelligence and Data team applies cutting‑edge technology and techniques to deliver client solutions. You will sit side‑by‑side with clients and EY teams to craft comprehensive approaches to challenging problems, many of which have not been solved before. Your work will span research, development and deployment of scalable AI systems across cloud and on‑premises environments. You will enhance data pipelines, optimize data for XOps processes, and continually refine high‑performance models. Heavy client interaction in a fast‑paced environment will be expected. Your Key Responsibilities
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
To excel in this role, you will need a blend of technical expertise and strong interpersonal skills. This role will work to deliver tech at speed, innovate at scale and put humans at the center. You will provide technical guidance and share knowledge with team members of diverse skills and backgrounds. Demonstrate technical capabilities, professional knowledge, and experience with EY service lines. Learn about EY and its service lines and actively assess and present ways to apply knowledge and services. 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 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 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. 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 in the US is $125,500 to $230,200. For New York City, Washington State and California (excluding Sacramento) it is $150,700 to $261,600. Additional benefits include medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options. We work in a hybrid model; most people in external client‑serving roles work together in person 40‑60% of the time over the course of an engagement, project or year. Flexible vacation policy that allows you to decide how much vacation time you need based on your personal circumstances. Time off for EY Paid Holidays, winter/summer breaks, personal/family care and other leaves of absence is also available. Are you ready to shape your future with confidence?
Apply today. EY accepts applications for this position on an ongoing basis. For those living in California, additional information is available. 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 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.
#J-18808-Ljbffr