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AI Solutions Engineer Co-op (Winter 2027)

  • Toronto, ON, Canada

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Posting language
English
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Original job description

Job Posting

AI Solutions Engineer Co-op

Get ready for a Naan-Traditional placement experience! 🫓

We’re not your average bakery. We’re a team of passionate thinkers and doers who are challenging the idea of what a bakery can be. We operate like a startup, powered by creativity and a ‘roll up your sleeves’ mentality, to give our customers the best possible product.

Job Summary

We're looking for an AI Solutions Engineer Co-op to join our growing Engineering team. If you're a student who wants to work on cutting-edge AI projects in a real-world setting and bring bold ideas to life, this is your opportunity to make an impact!

Key Responsibilities

  • Design and develop high-performance applications using .NET (C#), Python, and Azure Cloud services
  • Leverage Databricks and Azure AI services for building smart, data-driven applications
  • Work on real-time data integration, automation, and process optimization
  • Collaborate with a cross-functional team of software developers, data scientists, machine learning engineers, and business analysts
  • Develop and deploy apps in cloud environments using Python, .NET, Azure, and Databricks, and integrate them into scalable, production-grade systems
  • Encourage a culture of experimentation and continuous learning within the team

Key Qualifications

  • Currently enrolled in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field
  • Curious, passionate, and always exploring new ideas in AI, GenAI, deep learning, computer vision, and MLOps
  • Comfortable coding in .NET (C#), Python, and AI frameworks
  • A team player with great communication and collaboration skills
  • Detail-oriented with strong problem-solving abilities and a desire to take ownership of your work

In compliance with Ontario’s Bill 190, we confirm that this posting represents a current, existing vacancy within our organization.

FGF Brands may use Artificial Intelligence (AI) tools as part of our recruitment and selection process. These tools may assist in screening, assessing, or selecting applicants. AI tools are used to support our recruitment process, with final hiring decisions made by our recruitment and hiring teams.

FGF Brands is committed to providing an accessible recruitment process. Accommodations are available upon request for candidates taking part in all aspects of the recruitment and selection process. If you require an accommodation, please let our recruitment team know, and we will work with you to meet your accessibility needs.

More about this job

Responsibilities

The AI Solutions Engineer Co-op at FGF will design and build applications and data-driven tools on cloud platforms, and help integrate them into scalable systems. They will work with developers, data scientists and analysts on real-time data and automation projects.

Requirements

Candidates need current enrolment in Computer Science, AI, Machine Learning, Data Science or a related field. They should be comfortable coding in C#, Python and AI frameworks, and communicate and collaborate well as team players.

Skills

  • .NET (C#)
  • Python
  • Azure Cloud
  • Databricks
  • Azure AI services
  • Machine learning frameworks
  • GenAI
  • Deep learning
  • Computer vision
  • MLOps
  • Real-time data integration
  • Process automation
  • Cloud application deployment
  • Application development
  • Collaboration
  • Problem solving
  • Communication

Categories

  • Technology
  • Software
  • Data & Analytics

Keywords

  • AI Solutions Engineer
  • co-op
  • C#
  • .NET
  • Python
  • Azure
  • Azure AI
  • Databricks
  • Machine Learning
  • MLOps
  • GenAI
  • deep learning
  • computer vision
  • data integration
  • software development
  • cloud applications
  • student
  • Winter 2027

Seniority

Entry level

Tools

  • Azure
  • Databricks
  • Python
  • C#
  • .NET

Languages

  • English

Fields of study

  • Computer Science
  • Artificial Intelligence
  • Machine Learning
  • Data Science

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