Principal Machine Learning Engineer, General AI, ML & Big Data

Location: Montreal, Quebec, Canada, Toronto, Ontario, Canada, Vancouver, British Columbia, Canada, Calgary, Alberta, Canada

Workplace: hybrid

Description

About Opportunity

We are working with a global networking leader driving a fundamental shift in how businesses manage networks. There AI Core group pioneers’ platforms across Generative AI, AI Agents, RAG, Knowledge Bases, Data Mining, Anomaly Detection, and LLM fine-tuning — powering flagship products and enabling entirely new offerings. Innovation isn't just encouraged it's expected.

The Role

As one of our Principal ML Engineer’s, you'll be a key technical leader and thought leader, shaping our ML strategy and building intelligent, high-performance multi-agent systems that perceive, learn, and act in real time.

What You'll Do

• Define and drive the technical vision for ML solutions across products and platforms
• Own the end-to-end software development lifecycle — from design and code reviews through to deployment and operations
• Architect high-performance, scalable microservices, including synchronous and asynchronous web services
• Build real-time inference pipelines for complex models using Triton, TensorRT, and mixed-precision computing
• Mentor engineers, set technical direction, and foster a strong team culture
• Champion engineering excellence, system resilience, and continuous operational improvement

Requirements

Required Qualifications

• Degree in Computer Science, Mathematics, or a related field
• 5–10 years of full software development lifecycle experience (design, coding, testing, deployment, and operations)
• 5–10 years of Python expertise, including advanced features and libraries
• Strong experience designing RESTful APIs (e.g., FastAPI)
• Proficiency with Docker, Kubernetes, and CI/CD pipelines
• 3+ years designing and architecting large-scale distributed systems on cloud platforms (AWS, Azure, or GCP)
• Proven experience as a tech lead or engineering mentor

Preferred Qualifications

• MS or PhD in Computer Science or ML
• Hands-on experience with ML frameworks: PyTorch, SageMaker, Triton, or TensorRT
• Familiarity with NoSQL and document databases
• Track record of handling big data, optimising workflows, and improving system performance

Benefits

• Health Care Plan (Medical, Dental & Vision)
• Life Insurance (Basic, Voluntary & AD&D)
• Paid Time Off (Vacation, Sick & Public Holidays)
• Family Leave (Maternity, Paternity)
• Training & Development