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 OPEN

Apply for the AI & Machine Learning Engineering Consultant – Manager – Consulting – Location OPEN role at EY
.

Location:

Anywhere in Country

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Technology – Data and Decision Science – AI Native Engineering AI/Machine Learning Engineer, Manager Consultant The Opportunity

Our Artificial Intelligence and Data team applies cutting‑edge technology and techniques to deliver solutions to clients. You will 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.

In this role you will research, build, and implement scalable AI systems that learn and make predictions tailored to business requirements across various environments, including cloud and on‑premises. You will enhance data pipelines and storage, ensure data is clean, accurate, and optimized, and monitor and evaluate learning processes to continuously improve high‑performance models.

Your

Key Responsibilities

As a Manager in AI Native Engineering, you will deliver innovative solutions that drive business success, work with clients, design and build scalable solutions that unify, enrich, and derive insights from varied data sources, and guide teams to ensure data science solutions are properly engineered.

Your responsibilities will include:

• Leading workstream delivery and ensuring 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

Provide technical guidance, share knowledge, consistently deliver quality client services on complex, judgmental issues surrounding emerging technology, and innovate at scale.

The following attributes will make a significant impact:

• 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 (4‑year degree).
• 6‑10 years of full‑time 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) 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.
• 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, operations research, and proficiency in data manipulation tools (SQL, Pandas, Spark).
• Excellent communication skills for conveying findings and recommendations, and willingness to travel for client engagements.
• Skills in Technical Design Optimization.
• Strong relationship‑building skills.
• Demonstrat…