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

C-Serv
Toronto, OntarioOn-siteMay 29
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About this 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
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