AI & Machine Learning Engineering Consultant - Manager - Consulting - Location OPEN

We're seeking an AI & Machine Learning Engineering Consultant - Manager to join our team at EY. As a Manager in AI Native Engineering, you will play a pivotal role in delivering innovative solutions that drive business success. You will work with a wide variety of clients to deliver the latest data science and big data technologies. Your teams will design and build scalable solutions that unify, enrich, and derive insights from varied data sources across a broad technology landscape.

Requirements

• A Bachelor’s degree required (4-year degree).
• 6-10 years of relevant experience of full-time working experience in AI, Data Science, and/or Machine Learning
• 2-4 years of experience directly managing technical teams
• Strong skills in Python
• Ability lead, 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
• Proficient in Generative AI models and frameworks (e.g., OpenAI, Dall-e, Langchain, Retrieval Augmented Generation (RAG)) and experienced with ML packages like scikit-learn and PyTorch
• Experience with natural language processing and deep learning
• Extensive experience in DevOps tools (GIT, Azure DevOps), 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
• Skills in Technical Design Optimization
• Strong relationship-building skills
• Demonstrated client trust and value
• Digital fluency and emotional agility
• Commercial acumen and negotiation skills
• Proven ability to lead teams and manage change

Benefits

• Comprehensive compensation and benefits package
• Medical and dental coverage
• Pension and 401(k) plans
• Wide range of paid time off options