AI & Machine Learning Engineering Consultant - Senior - Consulting

AI & Machine Learning Engineering Consultant – Senior – Consulting – Location OPEN

Pay found in job post | Base pay range: $106,900 – $176,500 per year |

Location:

Anywhere in the country

Overview

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 helps apply cutting‑edge technology and techniques to bring solutions to clients. As part of that, you’ll sit side‑by‑side with clients and diverse EY teams to create a well‑rounded approach to advising and solving challenging problems. No two days will be the same, and with constant research and development, you’ll build knowledge that can be applied across a wide range of projects now and in the future.

You’ll need a passion for continuous learning, stay ahead of trends, and influence new ways of working to position solutions in the most relevant and innovative way for our clients. 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

• Research and implement scalable AI systems that meet business requirements.
• Enhance data pipelines and storage for optimal data accuracy and cleanliness.
• Monitor and optimize learning processes to improve high‑performance models.
• Travel to engage with external clients as needed.

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.
• Demonstrated technical capability and professional knowledge in emerging technology.

Qualifications

• Bachelor’s degree (4‑year degree) required.
• 3‑6 years of full‑time 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, Lang Chain, Retrieval‑Augmented Generation) 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.
• 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.

Ideally, you’ll also have

• Master’s degree in Computer Science, Mathematics, Physical Sciences, or another quantitative field.
• Experience in hybrid collaboration and emotional agility.
• A track record of working with diverse teams to drive outcomes through complex problem‑solving.
• Knowledge of sustainability practices in technology.
• Strong skills in languages beyond Python: R, JavaScript, Java, C++,
  
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• Experience fine‑tuning Generative AI models.
• Experience…