Principal Machine Learning Engineer, General AI, ML & Big Data
At a glance
Highlights
- Global networking leader
- Focus on generative AI and large language models
- Hybrid work in Montreal
Why this role might suit you
A seasoned ML professional with deep Python and cloud expertise can lead cutting‑edge AI initiatives, shape technical strategy, and mentor a growing team within a globally recognized networking company.
Skills
About the role
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
Questions about this role
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