Machine Learning Operations Engineer

FGF Brands; Toronto; On-site; CAD 80,000 - 120,000; Full time

Job summary

FGF Brands is seeking a Machine Learning Operations (MLOps) Engineer focused on developing web applications and supporting machine learning workflows. The role includes building cloud-native solutions, deploying ML models, and collaborating with data scientists. With a commitment to innovation, FGF offers a challenging and rewarding work environment that values growth and creativity.

Benefits

Competitive Compensation

Health Benefits

RRSP matching program

Tuition reimbursement

Discount program for restaurants and gyms

Qualifications

• Minimum 5 years of experience in related roles.
• Strong experience with cloud infrastructure and front-end frameworks.
• Familiarity with machine learning integration.

Responsibilities

• Design and build modern web applications using Python/.NET, React/Angular.
• Develop RESTful APIs and backend services for ML integration.
• Deploy machine learning models and automate workflows.

Skills

Python

.NET

REST APIs

Azure services

Docker

Machine Learning

CI/CD

Education

Education in computer science and electrical engineering

Job description

Job Description

Machine Learning Operations (MLOps) Engineer

We’re a naan traditional company…

Summary

We're on the lookout for a hands-on full-stack developer who’s just as comfortable building web apps and backend systems as they are supporting machine learning workflows and embedded hardware projects. The ideal candidate will have a broad technical skill set and the ability to tackle various challenges, including hardware setup, system optimization, and machine learning workflows.

What FGF Offers:

• FGF believes in Home Grown Talent, accelerated career growth with leadership training. Unleashing Your Potential
• Competitive Compensation, Health Benefits, & a generous flexible medical / Health spending account
• RRSP matching program
• Tuition reimbursement
• Discount program that covers almost everything under the sun - Restaurants, gyms, shopping etc.

Primary Responsibilities

Software Development

• Design and build modern web applications (front-end and back-end) using technologies like Python/.NET, React/Angular, JavaScript/TypeScript, etc.
• Develop RESTful APIs and backend services to support data processing and ML integration.
• Work with Azure services (App Services, Functions, Blob Storage, etc.) to build cloud-native solutions.
• Ensure robust CI/CD pipelines and DevOps best practices are in place for both app and ML model deployments.

MLOps & Integration Support

• Help deploy machine learning models across environments—cloud, edge, and hybrid setups.
• Use Docker or other container tools to package and deploy ML solutions reliably.
• Automate ML workflows and integrate them into production-ready software systems.

Hardware & Edge AI Systems

• Assist with the setup and integration of development boards (e.g., NVIDIA Jetson).
• Connect sensors, cameras, and IoT devices for real-time data collection and processing.
• Support system optimization for performance and reliability in edge applications.

Collaboration & System Support

• Work closely with data scientists, engineers, and stakeholders to turn prototypes into scalable software products.
• Document architecture, workflows, and infrastructure clearly to support team handoffs and maintenance.
• Support networking and system configuration for integrated hardware-software solutions.

Required Experience

Education and Experience

• Education in computer science and electrical engineering with minimum 5 years of experience in related roles or similar technical field of study.

Tech Stack & Tools

• Strong experience with python, .NET, front-end frameworks (React, Angular, etc.), REST APIs.
• Comfortable working with Azure services and setting up cloud infrastructure.
• Solid grasp of containerization using Docker; familiarity with CI/CD tools like GitHub Actions or Azure DevOps.
• Bonus: ML familiarity, especially in integrating with PyTorch/TensorFlow models.

Hardware & Edge Knowledge (Nice to Have)

• Experience working with edge devices like Jetson Nano, Raspberry Pi, or other embedded platforms.
• Understanding of system-level tuning, hardware troubleshooting, or computer vision camera setups.

Problem Solving & Collaboration

• A relentless drive to find elegant, scalable solutions to complex problems.
• Strong communication skills and a commitment to teamwork.

What is the recipe for a great career at FGF? Working at FGF Brands, there is never a dull moment! As a successful company that is continually growing there is always challenging yet rewarding work to be a part of.We have an entrepreneurial spirit which encourages all our team members to use their own creativity and out of the box thinking to come up with solutions and new ideas.

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

Disclaimer: The above describes the general responsibilities, required knowledge and skills. Please keep in mind that other duties may be added or this description may be amended at any time.

IT

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