Machine Learning Operations Engineer

FGF Brands; Ontario; On-site; CAD 85,000 - 120,000; Full time

Job summary

FGF Brands is seeking a Machine Learning Operations (MLOps) Engineer who is passionate about software development and ML integration. In this role, you will design web applications, develop APIs, and optimize hardware systems for embedded projects. A collaborative environment awaits where your innovative solutions will have a significant impact across various projects.

Benefits

Competitive Compensation

Health Benefits

RRSP matching program

Tuition reimbursement

Discounts on various services

Qualifications

• Minimum 5 years experience in related roles or similar technical fields.
• Strong experience with Azure services and cloud infrastructure.
• Bonus: Familiarity with PyTorch/TensorFlow models.

Responsibilities

• Design and build web applications using Python/.NET and frameworks.
• Develop RESTful APIs and backend services for ML integration.
• Help deploy machine learning models across cloud and edge environments.

Skills

Python

.NET

React

Azure

Docker

REST APIs

Machine Learning

Problem Solving

Education

Education in Computer Science or 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

#LI-ONSITE

#LI-SS2