Senior AI & Machine Learning Engineering Consultant

Location

Anywhere in Country

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 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.

Key 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.
• 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.

Skills and Attributes

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.

Qualifications

• 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, LangChain, RAG) and ML packages such as scikit‑learn and PyTorch.
• Experience: with natural language processing and deep learning.
• Extensive experience: with DevOps tools (Git, Azure DevOps), 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.

Preferred Qualifications

• 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++, C.
• Experience: fine‑tuning generative AI models.
• Experience: with image processing or speech and audio processing and analysis.

Benefits

• 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.

Equal Opportunity Employer

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.