AI & Machine Learning Engineering Consultant - Senior - Consulting

Location

Anywhere in Country

Our Artificial Intelligence and Data team helps apply cutting‑edge technology and techniques to bring solutions to our clients. As part of that, you will 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. 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.

• 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.
• Design and build scalable solutions that unify, enrich, and derive insights from varied data sources across a broad technology landscape.
• Provide technical guidance and perform development tasks to ensure data science solutions are properly engineered and maintained.
• Collaborate with clients and interdisciplinary teams to navigate the complex world of modern data science, analytics, and software engineering.
• Travel as required to engage with external clients.

Strong analytical and decision‑making skills, proven project management experience, ability to build and maintain client relationships, and excellent communication skills to convey complex ideas effectively.

• Fourth‑year bachelor’s degree required.
• 3–6 years of full‑time experience in AI and/or machine learning.
• Strong Python skills.
• Collaboration and communication skills with diverse, hybrid, and global teams.
• Experience delivering production AI/ML solutions on a major cloud platform.
• Proficiency with generative AI models and frameworks (e.g., OpenAI, DALL‑E, Lang Chain, RAG) and ML packages such as scikit‑learn and PyTorch.
• Experience with natural language processing and deep learning.
• Extensive experience with 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, feedback loops, monitoring, and reporting.
• Understanding of data structures, data modelling, and software engineering best practices.
• Strong foundation in mathematics, statistics, operations research, SQL, Pandas, Spark, and deep learning techniques.
• 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.
• Track record of working with diverse teams to drive outcomes through complex problem‑solving.
• Knowledge of sustainability practices in technology.
• Ability to teach and convey concepts, tools, and benefits of different approaches.
• Proficiency in languages beyond Python: R, JavaScript, Java, C++,
  
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• Experience fine‑tuning generative AI models.
• Experience with image processing or speech and audio processing and analysis.

• Comprehensive compensation and benefits package, including a competitive base salary ($106,900 – $176,500 US all locations; higher ranges for NYC, Washington State, and California) and performance‑based rewards.
• Medical and dental coverage, pension, and 401(k) plans.
• Wide range of paid time off options and flexible vacation policy.
• Hybrid work model with in‑person collaboration 40–60% of the time.
• Opportunities for continuous learning and career development in a globally connected team.

EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records. EY is committed to providing reasonable accommodation to qualified individuals with disabilities, including veterans with disabilities.