AI & Machine Learning Engineering Consultant - Senior - Consulting

Position: AI & Machine Learning Engineering Consultant - Senior - Consulting - Location OPEN

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

Join to apply for the AI & Machine Learning Engineering Consultant - Senior - Consulting - Location OPEN role at EY.

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.

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 deliver solutions to clients. You’ll work side‑by‑side with clients and diverse EY teams to advise and solve challenging, often unprecedented problems. No two days are the same; ongoing research and development let you build knowledge that applies across projects. You’ll need a passion for continuous learning, stay ahead of trends, and influence new ways of working so you can position solutions in the most relevant and innovative manner.

As a Senior AI Native Engineer, you’ll 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 predict in diverse business environments, whether in the cloud or on‑premises. You will enhance data pipelines for data integrity, optimize learning processes, and collaborate with talented data and analytics professionals.

Your

Key Responsibilities

In this role, you will contribute significantly to the delivery of innovative AI solutions. You will work with a wide variety of clients to deliver the latest data science and big data technologies. Your teams will design and build scalable solutions that unify, enrich, and derive insights from varied data sources across a broad technology landscape. You will help clients navigate the complex world of modern data science, analytics, and software engineering.

We’ll look to you to provide guidance and perform technical development tasks so that data science solutions are properly engineered and maintained to support ongoing business needs.

You will spend your time on key responsibilities that include:

• 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 to engage with external clients as needed.

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, share knowledge with team members of diverse skills and backgrounds, and consistently deliver quality client services focusing on complex, judgmental, or specialized issues surrounding emerging technology.

• 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.

To qualify for the role, you must have

• A Bachelor’s degree (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.
• Proficiency in Generative AI models and frameworks (e.g., OpenAI, DALL‑E, Lang Chain, Retrieval Augmented Generation) and experience 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…