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AI & Machine Learning Engineering Consultant - Senior - Consulting

Job in St. Louis, Saint Louis, St. Louis city, Missouri, 63105, USA
Listing for: EY
Full Time position
Listed on 2025-12-02
Job specializations:
  • IT/Tech
    AI Engineer, Machine Learning/ ML Engineer, Data Scientist
Salary/Wage Range or Industry Benchmark: 106900 - 176500 USD Yearly USD 106900.00 176500.00 YEAR
Job Description & How to Apply Below
Position: AI & Machine Learning Engineering Consultant - Senior - Consulting - Location OPEN
Location: St. Louis

AI & Machine Learning Engineering Consultant – Senior – Consulting

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 build a better working world.

Our Artificial Intelligence and Data team applies cutting‑edge technology to solve challenging client problems. As a Senior AI Native Engineer, you will research, build, and implement scalable AI systems that learn and make predictions tailored to diverse business environments, whether in the cloud or on‑premises. You will enhance data pipelines, optimize learning processes, and collaborate with data and analytics professionals in a fast‑paced, client‑facing environment.

Your

Key Responsibilities
  • Researching and implementing scalable AI systems that meet business requirements.
  • Enhancing data pipelines and storage for optimal data accuracy and cleanliness.
  • Monitoring and optimizing learning processes to improve high‑performance models.
  • Providing technical guidance and performing development tasks to ensure data‑science solutions are properly engineered and maintained.
  • Traveling as needed to engage with external clients.
Skills and Attributes for Success
  • Strong analytical and decision‑making skills to guide project direction.
  • Proven experience in project management and tracking deliverable completion.
  • Ability to build and maintain relationships with clients and team members.
  • Excellent communication skills to convey complex ideas effectively.
  • Technical expertise in AI/ML engineering, PyTorch, scikit‑learn, and cloud platforms.
  • Experience in MLOps, CI/CD, Dev Ops tools (Git, Azure Dev Ops), and Agile methodologies.
To qualify for the role, you must have
  • Bachelor’s degree (4‑year) in a STEM field.
  • 3–6 years of full‑time experience in AI and/or machine learning.
  • Strong Python skills and experience designing production‑grade AI/ML solutions on a major cloud platform.
  • Proficiency with generative‑AI models (e.g., OpenAI, DALL‑E, Lang Chain, Retrieval Augmented Generation).
  • Experience with NLP, deep learning, PyTorch or Tensor Flow, and data‑engineering tools (SQL, Pandas, Spark).
  • Experience with Dev Ops and MLOps tool chains for data ingestion, transformation, and model monitoring.
  • Strong foundation in mathematics, statistics, and software‑engineering best practices.
  • Excellent communication and presentation skills; willingness to travel for client engagements.
Ideally, you’ll also have
  • Master’s degree in Computer Science, Mathematics, or a quantitative field.
  • Experience in hybrid collaboration, emotional agility, and teaching complex concepts.
  • Knowledge of sustainability practices in technology.
  • Skills in languages beyond Python (R, JavaScript, Java, C++,

    C).
  • Experience fine‑tuning generative‑AI models and image/audio‑processing techniques.
What We Offer You
  • Comprehensive compensation and benefits package; base salary range $106,900–$176,500 (US). Additional pay ranges apply by geography.
  • Medical and dental coverage, pension and 401(k) plans, paid time off, and flexible vacation policy.
  • Hybrid work model: 40–60% in‑person for client‑serving roles, with remote options as appropriate.
  • Opportunities for continuous learning, career growth, and impact across a global network.

EY accepts applications for this position on an ongoing basis. If you are in California, additional information is available upon request.

EY is committed to providing reasonable accommodation to qualified individuals with disabilities. If you need assistance applying online or require an accommodation, please call 1‑800‑EY‑HELP3, select Option 2 for candidate related inquiries, then Option 1 for candidate queries, and finally Option 2 for candidates with an inquiry to route you to EY’s Talent Shared Services Team (TSS). You can also email

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, in accordance with applicable law. EY is committed to reasonable accommodation for qualified individuals with disabilities including veterans with disabilities.

Seniority Level

Mid‑Senior level

Employment Type

Full‑time

Job Function

Other

Industries

Professional Services

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Position Requirements
10+ Years work experience
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