AI & Machine Learning Engineering Consultant - Senior - Consulting

AI & Machine Learning Engineering Consultant - Senior

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Pay found in job post. Base pay range: $/yr – $/yr.

Location:

Anywhere in Country.

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Technology – Data and Decision Science – AI Native Engineering
AI/Machine Learning Engineer, Senior Consultant

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, & 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 & analytics professionals.

• 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.

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.

• Strong analytical & decision‑making skills to guide project direction.
• Proven experience in project management & tracking deliverable completion.
• Ability to build & maintain relationships with clients & team members.
• Excellent communication skills to convey complex ideas effectively.

• Bachelor’s degree required (4‑year degree).
• 3‑6 years of full‑time working experience in AI &/or Machine Learning.
• Strong skills in Python.
• Experience designing, building, & maintaining high‑impact, high‑value production AI/ML solutions on a major cloud platform.
• Proficient in Generative AI models & frameworks (e.g., OpenAI, Dall‑e, Langchain, Retrieval Augmented Generation (RAG)) and experienced with ML packages like scikit‑learn & PyTorch.
• Experience with natural language processing & deep learning.
• Extensive experience in Dev Ops tools (GIT, Azure Dev Ops), Agile methodologies (Jira), & CI/CD pipelines for developing, deploying, & scaling analytical solutions.
• Experience with MLOps & ML workflows, including data ingestion, transformation, & evaluation.
• Experience with model retraining & feedback loop methodologies.
• Experience with model & solution monitoring & reporting.
• Understanding of data structures, data modelling, & software engineering best practices.
• Strong foundation in mathematics, statistics, & operations research, with proficiency in data manipulation tools (SQL, Pandas, Spark) & deep learning techniques.
• Excellent communication skills for conveying findings & recommendations, with a willingness to travel for client engagements.

• Master’s degree in Computer Science, Mathematics, Physical Sciences, or…