AI & Machine Learning Engineering Consultant – Manager – Consulting

Location:

Anywhere in Country

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 build a better working world.

Our Artificial Intelligence and Data team helps apply cutting edge technology and techniques to bring solutions to our 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. You’ll need a passion for continuous learning, stay ahead of the trends, and influence new ways of working to position solutions in the most relevant and innovative way for our clients.

In this role, you will research, build, and implement scalable artificial intelligence 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, ensuring data is clean, accurate, and optimized for XOps processes. You will monitor and evaluate learning processes to continuously improve high‑performance models and collaborate with other data and analytics professionals to industrialise analysis into effective analytics solutions.

• Lead workstream delivery and ensure effective management of processes and projects.
• Continuously improve processes by identifying innovative solutions through research and analysis.
• Manage professional employees and supervise teams to deliver complex technical initiatives with accountability for performance and results.
• Engage actively with clients, participate in daily working sessions, and lead work streams from planning through execution to closure.
• Identify opportunities for additional services and manage engagement economics.

• 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.

• Person must have a bachelor’s 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; experience designing, building, and maintaining high‑impact production AI/ML solutions on a major cloud platform.
• Proficiency in Generative AI models and frameworks (OpenAI, DALL‑E, Lang Chain, Retrieval‑Augmented Generation) and ML packages such as scikit‑learn and PyTorch.
• Knowledge of natural language processing and deep learning.
• Extensive experience with Dev Ops tools (Git, Azure Dev Ops), Agile methodologies (Jira), and CI/CD pipelines for deploying analytical solutions.
• Experience with MLOps and ML workflows, including data ingestion, transformation, evaluation, model retraining, feedback loop methodologies, and solution monitoring.
• Strong foundation in mathematics, statistics, operations research, and data manipulation tools (SQL, Pandas, Spark).
• Excellent communication skills and willingness to travel for client engagements.

• Master’s degree or other advanced degree in Computer Science, Mathematics, Physical Sciences or related quantitative field.
• Experience teaching concepts, tools, and techniques to diverse teams.
• Skills in languages beyond Python (R, JavaScript, Java, C++,
  
  C).
• Experience fine‑tuning Generative AI models.
• Strong understanding of industry trends and emerging technologies.
• Data‑visualisation and storytelling skills.
• Image or speech/audio processing experience is a plus.

We seek individuals who are technically proficient, think critically and creatively, and have a collaborative mindset and passion for driving innovation in AI and data science.

We offer a comprehensive compensation and benefits package, including medical and dental coverage, pension and 401(k) plans, and a flexible vacation policy. Our hybrid model allows 40‑60 % onsite work for client‑serving roles. Join a diverse and inclusive culture of globally connected teams.

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, veteran status, disability status, or any other legally protected basis, in accordance with applicable law. EY is committed to providing reasonable accommodation to qualified individuals with disabilities.