Machine Learning Operations (MLOps) Engineer

IQ PARTNERS Inc; Toronto; On-site; CAD 90,000 - 120,000; Full time

Job summary

A leading company is seeking a Machine Learning Operations (MLOps) Engineer to develop solutions integrating web applications with machine learning. The role requires strong skills in Python, .NET, and Azure, along with at least 5 years of experience in a relevant technical field. This position offers the opportunity to work with cutting-edge technology and collaborate with a dynamic team in Toronto.

Benefits

Competitive Compensation

Health Benefits

RRSP matching program

Tuition reimbursement

Discount program for various services

Qualifications

• Education in computer science or electrical engineering is required.
• Minimum 5 years of experience in a related field.
• Familiarity with ML integration is a bonus.

Responsibilities

• Design and build modern web applications using technologies like Python and .NET.
• Help deploy machine learning models across environments.
• Support integration of hardware and software solutions.

Skills

Python

.NET

REST APIs

Azure

Docker

Machine Learning

Education

Education in computer science or electrical engineering

Minimum 5 years experience in related roles

Tools

Azure DevOps

GitHub Actions

Job description

Machine Learning Operations (MLOps) Engineer

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.
• 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. They have an entrepreneurial spirit which encourages all their team members to use their own creativity and out of the box thinking to come up with solutions and new ideas.

IQ PARTNERS is committed to operating an inclusive, barrier-free recruitment and selection process, and we encourage candidates of every race, gender, age, religion, identity, and experience to apply for this position. We’d be happy to provide accommodation for any candidate that requires assistance due to a disability or medical need. Please contact us at 416-599-4700 or by email at [e-mail] to discuss specific accommodations.

Job Title:
Machine Learning Operations (MLOps) Engineer

Location:
Toronto, Ontario

Type:
Permanent / Full Time

Job ID:
#517889

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