Machine Learning Operations Engineer

fgf brands • Toronto, ON

22h

About The Position

MLOps & Production Support Specialist
We’re a naan traditional company…
Summary
We are looking for a versatile and hands-on individual who thrives on working with hardware, machine learning operations (MLOps), and supporting a dynamic data science team. 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.

Requirements

• Deep familiarity with Linux environment, machine learning workflows and MLOps best practices.
• Knowledge of platforms like NVIDIA Boards, Raspberry Pi, or comparable devices.
• Proficiency in setting up hardware systems, including advanced troubleshooting.
• Experience with containerization (Docker) and cloud services integration.
• Experience with server setup, configuration, and ongoing maintenance in production environments.
• Experience deploying and supporting vision models in production, including monitoring and troubleshooting live inference systems.
• Comfortable managing and resolving support tickets tied to production model issues.
• Proficiency in Python; familiarity with ML frameworks like PyTorch, Tensorflow is a plus.
• Experience with hardware acceleration tools such as NVIDIA TensorRT is advantageous.
• A relentless drive to find elegant, scalable solutions to complex problems.
• Strong communication skills and a commitment to teamwork.

Nice To Haves

• Familiarity with ML frameworks like PyTorch, Tensorflow.
• Experience with hardware acceleration tools such as NVIDIA TensorRT.

Responsibilities

• Deploy machine learning models on hardware platforms with a focus on edge AI and IoT systems.
• Set up servers and deploy models to support production ML workloads.
• Leverage containerization (e.g., Docker) for scalable, repeatable deployments.
• Support and maintain servers and vision models running in production, ensuring uptime, performance, and reliability.
• Troubleshoot and resolve support tickets related to production model issues, providing timely fixes and root-cause analysis.
• Automate workflows to streamline machine learning pipelines and maximize reproducibility.

Benefits

• Competitive Compensation
• Health Benefits
• generous flexible medical / Health spending account
• RRSP matching program
• Tuition reimbursement
• Discount program that covers almost everything under the sun - Restaurants, gyms, shopping etc.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed