AI & Machine Learning Engineering Consultant - Senior - Consulting

AI & Machine Learning Engineering Consultant - Senior

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.

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.

• Research and implement scalable AI systems that meet business requirements.
• Enhance data pipelines and storage for optimal data accuracy and cleanliness.
• Monitor and optimise learning processes to improve high‑performance models.
• Provide guidance and perform technical development tasks to ensure data science solutions are properly engineered and maintained to support ongoing business needs. (This position may have travel requirements as needed to engage with external clients regularly.)

• 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 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.
• Proficiency in Generative AI models and frameworks (e.g., OpenAI, Dall‑e, Langchain, Retrieval Augmented Generation (RAG)) 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 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 a willingness to travel for client engagements.

• 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.
• A deep understanding of and ability to teach concepts, tools, features, functions, and benefits of different approaches to apply them.
• Strong skills in languages beyond Python: R, JavaScript, Java, C++,
  
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• Experience fine‑tuning Generative AI models.
• Experience with image processing techniques and/or speech and audio processing and analysis.

• We offer a comprehensive compensation and benefits package where you’ll be rewarded based on your performance and recognized for the value you bring to the business.
• Base salary range for this role in all geographic locations in the US is $106,900 to $176,500, with specific ranges for certain markets (e.g., New York City Metro Area,…