AI Developer, AI Centre of Excellence

Ernst & Young Advisory Services Sdn Bhd; Toronto; On-site; CAD 70,000 - 90,000; Full time

Job summary

A major global consulting firm is seeking an AI and ML Engineer to join their AI Centre of Excellence. The role involves designing AI service pipelines, developing APIs, and collaborating with cross-functional teams to implement scalable solutions. Ideal candidates will have a degree in a technical field and 1-3 years of relevant experience. The firm offers a comprehensive benefits package and opportunities for career development.

Benefits

Comprehensive medical and dental coverage

Mental health benefits and Employee Assistance Program

Generous time off including personal and vacation days

Qualifications

• 1-3 years of relevant engineering experience in AI / ML systems.
• Hands-on experience with web service development.
• Familiar with integrating ML models into production.

Responsibilities

• Design and implement AI / ML service pipelines.
• Develop and maintain REST and WebSocket APIs.
• Integrate databases for efficient data management.
• Utilize cloud functions for service deployment.

Skills

Proficiency in Python

Excellent interpersonal skills

Commitment to documentation

Collaboration in diverse teams

Education

Bachelor’s or Master’s degree in Computer Science or related field

Tools

FastAPI

Django

Flask

PostgreSQL

MongoDB

Azure Functions

Job description

Overview

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 an AI and ML Engineer within the AI Centre of Excellence (COE) at the Office of the CTO, in this role, you will support the development and integration of AI services, focusing on backend scalability and feature development. This hands-on technical role is ideal for collaborative engineers eager to learn, innovate, and help deliver scalable AI / ML solutions to real business challenges. You will support feature development and backend scalability, integrate and orchestrate AI / ML models, and collaborate with cross-functional teams to bring impactful solutions into production.

If you are passionate about AI and eager to contribute to innovative projects, we invite you to join our dynamic team.

Your key responsibilities

• AI / ML Service Pipeline Design: Assist in designing and implementing robust AI and ML service pipelines, ensuring reliable and efficient back-end performance.
• API Development: Develop and maintain REST and WebSocket APIs for AI / ML applications using Python frameworks (such as FastAPI, Django, or Flask).
• Database Integration: Integrate databases to store, retrieve, and manage AI / ML data efficiently; support feature engineering by enabling access to structured and unstructured datasets.
• Cloud Deployment: Utilize cloud functions (e.g., Azure Functions) to deploy, scale, and monitor AI / ML services.
• ML Model Integration: Support the integration of machine learning models into production environments, ensuring seamless interaction between APIs, databases, and deployed models.
• Backend Feature Development: Contribute to backend feature development, enhancing system scalability, modularity, and reliability using industry best practices.
• Team Collaboration: Participate in code reviews, knowledge sharing, and agile ceremonies to foster a high-performance, collaborative engineering culture.
• Documentation: Help document code, APIs, and technical processes to support team learning and maintainability.
• Continuous Learning: Stay up to date with new technologies, frameworks, and best practices in AI / ML engineering and software development.
• Security & Compliance: Follow organizational security, privacy, and compliance standards in all deployed solutions.

Skills and attributes for success

• Education: Bachelor’s or Master’s degree in Computer Science, Information Technology, or a closely related technical field.
• Experience: 1–3 years of relevant hands-on engineering experience in AI / ML systems, web service development, or related software engineering roles.
• Programming: Proficiency in Python; experience with frameworks such as FastAPI, Django, or Flask is a strong asset.
• API Development: Solid understanding of RESTful API design, testing, and versioning; experience implementing WebSocket APIs for real-time applications.
• Database Integration: Experience with relational and / or NoSQL databases for data storage, retrieval, and processing (e.g., PostgreSQL, MySQL, MongoDB, etc.).
• Cloud & Serverless: Practical knowledge of cloud-native / serverless deployment using Azure Functions (preferred) or similar tools on AWS or Google Cloud.
• ML Model Integration: Familiarity with integrating ML models into production environments; hands-on exposure to libraries such as scikit-learn, PyTorch, or TensorFlow is an asset.
• Scalability & Feature Development: Awareness of backend scalability challenges and experience supporting feature development in a distributed environment.
• Collaboration: Excellent interpersonal skills; ability to work effectively in diverse teams and communicate technical concepts clearly.
• Documentation: Commitment to writing maintainable, well-documented code and technical documentation for team use.
• Continuous Learning: Enthusiasm for picking up new technical skills and contributing to a knowledge-sharing team culture.

What we offer

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 Inclusion at EY

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.

EY | Building a better working world

EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.

Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.

EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.

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