AI & Machine Learning Engineering Consultant - Senior - Consulting

AI & Machine Learning Engineering Consultant – Senior – Consulting – Location OPEN

Join the AI & Machine Learning Engineering Consultant – Senior – Consulting team s role is open to candidates worldwide.

Our Artificial Intelligence and Data team helps apply cutting‑edge technology and techniques to bring solutions to 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. 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 need 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.

• Research and implement scalable AI systems that meet business requirements.
• Enhance data pipelines and storage for optimal data accuracy and cleanliness.
• Monitor and optimize learning processes to improve high‑performance models.
• This position may have travel requirements as needed to engage with external clients regularly.

To excel in this role, you will need a blend of technical expertise and interpersonal skills. Your ability to navigate complex challenges and deliver impactful solutions will be essential. This role will work to deliver technology at speed, innovate at scale, and put humans at the center. Provide technical guidance and share knowledge with team members with diverse skills and backgrounds.

Consistently deliver quality client services focusing on more complex, judgmental and/or specialized issues surrounding emerging technology. Demonstrate technical capabilities and professional knowledge.

• Strong analytical and decision‑making skills to guide project direction.
• Proven experience in project management and tracking deliverable completion.
• Ability to build and maintain relationships with clients and team members.
• Excellent communication skills to convey complex ideas effectively.

• A Bachelor’s degree required (4‑year degree).
• 3–6 years of full‑time working experience in AI and/or Machine Learning.
• Strong skills in Python.
• Ability to 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 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.

• Master’s degree in Computer Science, Mathematics, Physical Sciences, or another quantitative field.
• Experience in hybrid collaboration and emotional agility.
• A track record of working with diverse teams to drive outcomes through complex problem‑solving.
• Knowledge of sustainability practices in technology.
• A deep understanding of and ability to teach concepts, tools, features, functions, and benefits of different approaches to apply them.
• Strong…