AI & Machine Learning Engineering Consultant - Manager - Consulting

Location

Anywhere in Country

AI / Machine Learning Engineer, Manager Consultant

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.

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.

• Leading workstream delivery and ensuring the effective management of processes and projects.
• Continuously improving processes by identifying innovative solutions through research and analysis.
• Managing professional employees and supervising teams to deliver complex technical initiatives, with accountability for performance and results.
• Engaging actively with clients, participating in daily working sessions, and leading work streams from planning through execution to closure.
• Identifying opportunities for additional services and managing engagement economics.

• 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 to 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 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.
• 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.

• A deep understanding of and ability to teach concepts, tools, features, functions and benefits of different approaches to apply them.
• Master’s degree in Computer Science, Mathematics, Physical Sciences, or other quantitative field.
• Experience working with diverse teams to deliver complex solutions.
• Strong skills in languages beyond Python: R, JavaScript, Java, C++,
  
  C.
• Experience fine‑tuning Generative AI models.
• Experience in managing complex projects with multiple stakeholders.
• A strong understanding of industry trends and emerging technologies.
• Skills in data visualization and storytelling with…