AI & Machine Learning Engineering Consultant - Manager - Consulting

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

Location:

Anywhere in Country

At EY, we’re all in to shape your future with confidence. We 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 build a better working world.

The opportunity

Our Artificial Intelligence and Data team applies cutting‑edge technology and techniques to deliver solutions for clients. You’ll sit side‑by‑side with clients and diverse EY teams 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 build knowledge that can be applied across a wide range of projects now and in the future.

You’ll need passion for continuous learning, stay ahead of trends, and influence new ways of working to position solutions in the most relevant and innovative way for clients. Heavy client interaction in a fast‑paced environment and the opportunity to develop your own career path for your unique skills and ambitions.

Your

Key Responsibilities

• 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.

Skills and Attributes for Success

• Proven ability to develop solutions to complex problems and recommend changes to policies and procedures.

• Strong judgment in selecting methods and techniques for obtaining results.

• Experience in managing client relationships and delivering high‑quality service.

• Ability to lead teams effectively and manage change within the organization.

To qualify for the role, you must have

• 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 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.

Ideally, you’ll also have

• A deep understanding of and ability to teach concepts, tools, features, functions, and benefits of different approaches to apply them.

• Master's degree Computer Science, Mathematics, Physical Sciences, or other quantitative field.

• Experience…