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Fastapi Python Jobs in Quebec (NOW HIRING)

Trane Technologies

$152.48 - $212.92/hr

Advanced proficiency in Python, including asynchronous programming * Experience building microservices and APIs using FastAPI * Hands‑on experience with Kafka or similar real‑time messaging ...

Dormont Manufacturing Co

$111.31 - $155.43/hr

Advanced proficiency in Python, including asynchronous programming * Experience building microservices and APIs using FastAPI * Hands‑on experience with Kafka or similar real‑time messaging ...

Manulife

Cloud & Platform Engineer

Montreal, QC · On-site

Experience with scripting or automation using at least one language such as Python and Bash ... Knowledge of API development and complementary tools such as FastAPI and Swagger. * Experience with ...

Manulife

Cloud & Platform Engineer

Montreal, QC

Experience with scripting or automation using at least one language such as Python and Bash ... Knowledge of API development and complementary tools such as FastAPI and Swagger. * Experience with ...

Intact Financial

Senior AI Developer

Montreal, QC

Strong proficiency in Python and experience with AI/ML frameworks (e.g., LangChain, LangGraph, FastAPI). * Solid experience with AWS services relevant to AI/ML workloads (e.g., Bedrock, AgentCore ...

Bell Canada

Software Developer II

Montreal, QC · Hybrid

Strong proficiency in Python and a modern backend framework (e.g., FastAPI). * Good knowledge of TypeScript and familiarity with a frontend framework like Vue.js. * Proficiency in leveraging AI ...

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Fastapi Python information

What is the difference between Fastapi Python vs Django Developer?

AspectFastapi PythonDjango Developer
Primary FocusBuilding high-performance APIsDeveloping full-stack web applications
FrameworkFastapiDjango
Work EnvironmentBackend API services, microservicesWeb applications, content management systems
Required SkillsPython, asynchronous programming, REST APIsPython, Django framework, HTML/CSS, databases

Fastapi Python developers specialize in creating fast, scalable APIs using the Fastapi framework, often for microservices and backend systems. Django developers focus on building comprehensive web applications with integrated features. Both roles require Python, but Fastapi emphasizes performance and asynchronous programming, while Django offers a full-stack solution.

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Fastapi Python jobs near you

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

C-Serv

Montreal, QC

Other

Medical, Dental, Vision, Life, PTO

Posted 19 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

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