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Internship Network Data Engineer Jobs in Quebec (NOW HIRING)

Solid networking fundamentals (MAC addresses, DNS, servers, fiber optics, fiber tools) * Basic ... Scripting or programming knowledge * Ability to read workflows and technical documentation * Web ...

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Electro-Magnetic intern

Boucherville, QC · Hybrid

CA$24 - CA$27.75/hr

... network of nearly 100 engineering, manufacturing, and distribution facilities. As an intern in ... You will be in the role to support magnetic designers in various aspects including simulation, data ...

Knowledge of SCADA systems, industrial networking, and data acquisition platforms; Experience with Python, C#, or similar programming languages is considered an asset; Familiarity with hazardous area ...

Networking opportunities with industry experts and peers. Location of the internship is Montreal ... Data Privacy Privacy Statement | CAE As part of our process, we may use AIsupported tools to help ...

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The goal: one unified network open to any person and any device, worldwide. Connection without ... Collaborate closely with backend, product, and design teams to drive elegant, data-informed ...

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Internship Network Data Engineer information

What cities in Quebec are hiring for Internship Network Data Engineer jobs? Cities in Quebec with the most Internship Network Data Engineer job openings:

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

C-Serv

Montreal, QC

Other

Medical, Dental, Vision, Life, PTO

Re-posted 20 days ago


Job 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