EY Machine Learning - Manager in Toronto, Ontario

Machine Learning - Manager


Requisition # TOR0032H

Post Date Mar 13, 2018

EY's people in more than 150 countries are committed to operating with integrity, quality and professionalism in the provision of audit, tax and transaction advisory services. We strive to help all of our people achieve their professional and personal goals through an inclusive environment that values everyone's contributions, appreciates diversity of thought, fosters growth, and provides continuous opportunities for development. Recognized as one of Canada's top employers, EY continually strives to be a great place to work.

We currently have a career opportunity for Machine Learning – Manager level resource within our IT Advisory service line.


  • Define, develop and prototype cognitive solutions such as Machine Learning, Natural Language Processing (NLP), Linguistics, Information Retrieval, Image Recognition, Deep Learning.

  • Serve as Subject Matter Expert (SME) in the domain of Machine Learning and NLP and help establish a competency in those cognitive areas.

  • Work closely with functional teams to incorporate cognitive and advanced analytics models and algorithms into product, solutions and offerings.

  • Possibility to work in client engagements as Machine Learning SME.

  • Will serve as Thought Leader in Machine Learning and NLP, developing internal and external eminence and intellectual property, as well as support client facing activities and influencing customer facing groups including senior executives, sales, as well as marketing and product development to successfully define, develop and launch new products and solutions.

  • Model and algorithm development and optimization, working with software engineers to implement and productize the models and algorithms, engage in project specific activities as part of product development, as well as perform Machine Learning R&D work, develop tools and assets to support advanced Machine Learning development tasks.

Role Requirements


The ideal candidate will possess technical analytics expertise, take a collaborative approach, have excellent communication skills, execute a practical approach as well as have a high attention to detail and work quality. They should have the ability to communicate Data Science concepts to a business audience. The candidate must be an expert in all aspects of modern Machine Learning and well-founded with traditional statistics and analytics. They must be able to communicate the business value and have the technical expertise to build and validate models. They will need to be able to perform hands on with teams inside and outside of EY. They will keep up with current trends on: apply Machine Learning, Automated Machine Learning, Hosted Machine learning API(s) and platforms. They should have experience working with large data sets and cloud computing.


  • Experience in Artificial Intelligence, Machine Learning, Natural Language Processing, Cognitive Science or other related areas.

  • Strong mathematical background with strong knowledge in at least one of the following fields: Machine Learning, Deep Learning, Information Retrieval, Image Recognition.

  • Experience with languages such as: Python, R, SQL, and Java.

  • Experience with frameworks and libraries such as: Pytorch, Keras, TensorFlow, scikit-learn, xgboost, pandas, Spark, matplotlib, D3, pytest, flask, Docker etc.

  • Experience with Google and Amazon Machine Learning and Cloud tools.

  • Experience working with both relational and NoSQL databases and gathering data from both large information systems.

Educational Qualifications

  • Bachelor’s degree. (Graduate degree (Masters or PhD) in Computer Science, Applied Statistics, Engineering, Mathematics, Physics or other quantitative discipline will be highly preferred).

EY is committed to inclusiveness, equity and accessibility. We encourage all qualified candidates to apply.