AI & Machine Learning Engineering Consultant - Senior - Consulting
Listed on 2026-01-07
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IT/Tech
AI Engineer, Machine Learning/ ML Engineer, Data Engineer, Data Scientist
AI & Machine Learning Engineering Consultant – Senior – Consulting –
Location:
OPEN
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 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 build knowledge that can be applied across a wide range of projects now and in the future.
You 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 way for our clients.
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.
YourKey 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 as needed to engage with external clients regularly.
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, 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.
- A Bachelor’s degree (4‑year degree).
- 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.
- Proficiency in Generative AI models and frameworks (e.g., OpenAI, DALL‑E, Lang Chain, Retrieval Augmented Generation) and experience with ML packages such as 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 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 willingness to travel for…
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