Senior jobs in Canada

Location: Toronto

Other locations: Primary Location Only

Date: Sep 5, 2025

Requisition ID: 1641493

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 to build a better working world.

The opportunity

As a Senior AI and ML Engineer within the AI Centre of Excellence (COE) at the Office of the CTO, you will play a key role in developing, deploying, and enhancing artificial intelligence and machine learning services at EY Canada. You will join a team that drives the design and delivery of robust, scalable AI solutions, orchestrate AI service pipelines, and integrates ML models into production systems. This position is ideal for a passionate, hands-on engineer eager to advance both the technical and practical boundaries of AI/ML in real-world business applications.

• AI Service Orchestration: Design, build, and manage orchestration workflows for AI and ML services, ensuring smooth integration and automation of end-to-end processes.
• API Development: Develop, document, and maintain APIs for AI/ML services using Python frameworks such as FastAPI, Django, or Flask.
• ML Model Integration: Integrate machine learning models into scalable, production-grade environments; ensure seamless interaction between APIs and underlying ML models.
• Cloud Functions & Deployment: Leverage Azure Functions and other serverless/cloud-native tools to deploy and manage ML services efficiently.
• System Scalability: Architect solutions with scalability and reliability in mind, employing best practices in software engineering and cloud deployment.
• Collaboration: Work cross-functionally with data scientists, engineers, product managers, and business stakeholders to translate requirements into robust technical solutions.
• Continuous Improvement: Participate in code reviews, contribute to team knowledge-sharing, and help maintain an agile, high-performance engineering culture.
• Documentation: Produce clear, comprehensive technical documentation for code, APIs, and deployment processes.
• Security & Compliance: Adhere to organizational security best practices and ensure all solutions meet internal compliance, accessibility, and privacy standards.

• Education: Bachelor’s or Master’s degree in Computer Science, Information Technology, or a closely related technical field.
• Experience: 4-6 years of relevant, hands-on engineering experience in AI/ML systems, preferably in enterprise or cloud environments.
• Programming & Frameworks: Proficient in Python; solid experience with FastAPI, Django, or Flask for API development.
• API Design: Strong understanding of RESTful API design, versioning, testing, and security.
• ML Model Integration: Experience deploying and integrating machine learning models into live environments; familiarity with common ML frameworks (scikit-learn, PyTorch, TensorFlow, etc.).
• Cloud & Serverless: Practical experience with Azure Functions; knowledge of cloud architecture and best practices in Azure (or similar platforms like AWS Lambda or Google Cloud Functions).
• Service Orchestration: Exposure to orchestrating AI pipelines and workflow automation (e.g., using Airflow, Azure Data Factory, or similar tools) is an asset.
• Scalability & Performance: Demonstrated ability to design systems for scalability, reliability, and performance in distributed environments.
• Problem-Solving: Ability to tackle complex technical challenges and develop innovative solutions in a fast-paced environment.
• Collaboration: Strong interpersonal and collaborative skills; ability to communicate technical concepts clearly to non-technical audiences.
• Documentation & Best Practices: Commitment to writing maintainable, well-documented, and tested code.
• Communication: Excellent written and verbal communication skills, with the ability to convey technical concepts clearly to diverse audiences
• Continuous Learning: Willingness to stay current with new technologies, frameworks, and best practices in AI/ML engineering.

The EY benefits package is designed to support your physical, emotional, financial, and social wellbeing. Our extensive benefits include comprehensive medical, dental, and prescription drug coverage, as well as mental health benefits, a robust Employee Assistance Program and group savings plans to promote your overall wellbeing. We offer generous time off, including personal days, vacation days, and additional firm-wide holidays, along with the option to purchase extra vacation days. Employees can take advantage of EY\'s exclusive learning programs tailored just for them. We also provide internal opportunities for career development and advancement, enabling you to grow within the firm. Get involved in meaningful volunteering through EY Ripples and make a positive impact in the community.

Are you ready to shape your future with confidence? Apply today.

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Diversity and inclusiveness are at the heart of who we are and how we work. We’re committed to fostering an environment where differences are valued, policies and practices are equitable, and our people feel a sense of belonging. We embrace diversity and are committed to combating systemic racism, advancing gender equity and women in leadership, advocating for the 2SLGBTQIA+ community, promoting our neuroinclusion and accessibility initiatives, and are dedicated to amplifying the voices of Indigenous peoples (First Nations, Inuit, and Métis) nationally as we strive towards reconciliation. Our diverse experiences, abilities, backgrounds, and perspectives make our people unique and help guide us. Because when people feel free to be their authentic selves at work, they bring their best and are empowered to build a better working world.

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