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AI & Machine Learning Engineering Consultant - Manager - Consulting - Location OPEN
AI & Machine Learning Engineering Consultant - Manager - Consulting - Location OPENEY • Seattle, WA, United States
AI & Machine Learning Engineering Consultant - Manager - Consulting - Location OPEN

AI & Machine Learning Engineering Consultant - Manager - Consulting - Location OPEN

EY • Seattle, WA, United States
9 hours ago
Job type
  • Full-time
Job description

AI & Machine Learning Engineering Consultant - Manager - Consulting

Location : Anywhere in Country

At EY, we’re all in to shape your future with confidence. Join EY and help to build a better working world.

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, some of which have not been solved before. No two days will be the same, and with constant research and development, you’ll find yourself building knowledge that can be applied across a wide range of projects now and in the future. You need to have a passion for continuous learning, stay ahead of the trends, and influence new ways of working so you can position solutions in the most relevant and innovative way for our clients. You can expect heavy client interaction in a fast‑paced environment and the opportunity to develop your own career path for your unique skills and ambitions.

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.

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. This role will work to 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. 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.
  • Qualifications

  • 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 (RAG)) 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 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 another 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 the ability to think critically and creatively. Top performers demonstrate a commitment to excellence, a collaborative spirit, and a passion for driving innovation in the field of AI and data science. Your ability to collaborate effectively and communicate with clarity will set you apart as a leader in our team.

    What We Offer You

  • 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.
  • Important Information

    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.

    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 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

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