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AI Developer, AI Centre of Excellence

EY US

Toronto

On-site

CAD 80,000 - 110,000

Full time

Today
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Job summary

A global professional services firm located in Toronto is seeking an AI and ML Engineer to focus on the development and integration of AI services. The role requires collaboration with teams to develop scalable solutions, robust API development, and a strong understanding of Python frameworks. The ideal candidate will have a passion for AI and a commitment to continuous learning. This position offers an extensive benefits package and opportunities for career development.

Benefits

Comprehensive medical and dental coverage
Mental health benefits
Generous paid time off

Qualifications

  • Experience with AI / ML systems and web service development.
  • Solid understanding of RESTful API design and versioning.
  • Familiarity with integrating ML models into production environments.

Responsibilities

  • Assist in designing and implementing AI and ML service pipelines.
  • Develop and maintain REST and WebSocket APIs.
  • Integrate databases to manage AI / ML data efficiently.

Skills

Proficiency in Python
API Development
Database Integration
Cloud & Serverless
ML Model Integration
Collaboration
Documentation
Continuous Learning

Education

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

Tools

FastAPI
Django
Flask
PostgreSQL
MySQL
MongoDB
scikit-learn
PyTorch
TensorFlow
Job description
Overview

At EY were all in to shape your future with confidence.

Well 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 : Bachelors or Masters degree in Computer Science Information Technology or a closely related technical field.
  • Experience : 13 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.

Learn about our commitment to DE&I at you ready to shape your future with confidence Apply today.

To help create the best experience during the recruitment process please describe any accommodations you may need.

Diversity and Inclusion at EY

Diversity and inclusiveness are at the heart of who we are and how we work. Were 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 Mtis) 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.

Key Skills
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Employment Type : Contract

Experience : years

Vacancy : 1

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