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AI & Machine Learning Engineering Consultant - Senior - Consulting

Job in Cincinnati, Hamilton County, Ohio, 45208, USA
Listing for: EY
Full Time position
Listed on 2025-12-01
Job specializations:
  • IT/Tech
    AI Engineer, Machine Learning/ ML Engineer, Data Engineer, Cloud Computing
Job Description & How to Apply Below
Position: AI & Machine Learning Engineering Consultant - Senior - Consulting - Location OPEN

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 to build a better working world.

Technology – Data and Decision Science – AI Native Engineering

AI/Machine Learning Engineer, Senior Consultant 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’ll 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.

As a Senior AI Native Engineer, you will be at the forefront of revolutionizing how businesses leverage artificial intelligence. Your role will involve researching, building, and implementing 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 to ensure data integrity and optimize learning processes, all while collaborating with a talented team of data and analytics professionals.

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.
  • Travel as needed to engage with external clients regularly.
Skills and Attributes for Success

To excel in this role, you will need a blend of technical expertise and interpersonal skills. Your ability to navigate complex challenges and deliver impactful solutions will be essential. 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.

  • 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.
Qualifications
  • A Bachelor’s degree required (4‑year degree).
  • 3–6 years of full‑time working experience in AI and/or Machine Learning.
  • Strong skills in Python.
  • Ability to 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 Dev Ops tools (GIT, Azure Dev Ops), 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…
Position Requirements
10+ Years work experience
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