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Pytorch Developer Jobs in British Columbia (NOW HIRING)

Familiarity with PyTorch Lightning or similar machine learning frameworks * Programming experience in one or more of the following: Python, C++, Java, PHP * Ability to work well in cross-functional ...

Familiarity with PyTorch Lightning or similar machine learning frameworks * Programming experience in one or more of the following: Python, C++, Java, PHP * Ability to work well in cross-functional ...

Familiarity with AI tools, frameworks, and programming languages (e.g., Python, R, TensorFlow,PyTorch) * Knowledge of key regulatory frameworks and standards (e.g.NIST AI Risk Management Framework ...

Our solutions are developed by small, focused agile teams of data scientist and developers. You ... PyTorch, Sklearn, TensorFlow, TensorRT and others * Experience mentoring junior and intermediate ...

PyTorch). * Speech Expertise: 3+ years of experience in Speech Synthesis (TTS) or Voice Design ... Backend Engineering: Experience building production-grade APIs and integrating multi-vendor ...

Machine Learning Engineer

Vancouver, BC · On-site

$100 - $140/hr

As a Machine Learning Engineer, you will join a small, high-impact R&D team and own the full ML ... Strong proficiency in Python and PyTorch. * Computer vision experience (classical and deep learning)

New

AI Engineer

Vancouver, BC

CA$180K - CA$225K/yr

... PyTorch Tooling: Turborepo, ESLint, Prettier, NPM/PNPM, Git, AI codegen Databases: Postgres ... AI engineering: Large Language Models, Multi-Modal Models, Image Generation, In-painting, Voice ...

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Pytorch Developer information

What is a PyTorch Developer?

A PyTorch Developer is a software engineer or data scientist who specializes in using PyTorch, an open-source machine learning library, to build and deploy deep learning models. Their responsibilities typically include designing neural network architectures, training and evaluating models, and optimizing code for performance. PyTorch Developers work in fields such as artificial intelligence, computer vision, and natural language processing, collaborating with teams to solve complex problems using machine learning. They are proficient in Python and have a strong understanding of deep learning concepts. Additionally, they often contribute to research, development, and the deployment of AI solutions in production environments.

What are the key skills and qualifications needed to thrive as a Pytorch Developer, and why are they important?

To thrive as a Pytorch Developer, you need strong programming skills in Python, a solid grasp of machine learning concepts, and experience with deep learning frameworks—especially PyTorch itself. Familiarity with tools like CUDA, Jupyter Notebooks, and version control systems (e.g., Git) is typically expected, along with knowledge of cloud platforms or relevant certifications. Problem-solving ability, effective collaboration, and clear communication are crucial soft skills for success in this role. These skills and qualities are vital for efficiently building, optimizing, and deploying machine learning models in real-world applications.

What is the difference between Pytorch Developer vs Machine Learning Engineer?

AspectPytorch DeveloperMachine Learning Engineer
Required CredentialsBachelor's or higher in CS, experience with PyTorchBachelor's or higher in CS, data science, or related field, with ML experience
Work EnvironmentResearch labs, AI startups, tech companies focusing on deep learningTech companies, finance, healthcare, often involving deployment and scaling ML models
Industry UsagePrimarily in AI research and development teamsAcross industries implementing ML solutions in production

While both roles require knowledge of machine learning and experience with PyTorch, a Pytorch Developer mainly focuses on developing and optimizing deep learning models using PyTorch. A Machine Learning Engineer often has a broader scope, including deploying, maintaining, and scaling ML models across various platforms and industries.

What are some common challenges Pytorch Developers face when deploying machine learning models to production environments?

Pytorch Developers often encounter challenges when transitioning models from research to production, such as optimizing model performance for inference speed and memory usage, ensuring compatibility with deployment frameworks like TorchScript or ONNX, and managing dependencies across different systems. Additionally, integrating PyTorch models into existing software stacks and maintaining reproducibility can be complex. Collaborating closely with DevOps and data engineering teams is crucial to address these issues and ensure smooth deployment.
What are popular job titles related to Pytorch Developer jobs in British Columbia? For Pytorch Developer jobs in British Columbia, the most frequently searched job titles are:
What job categories do people searching Pytorch Developer jobs in British Columbia look for? The top searched job categories for Pytorch Developer jobs in British Columbia are:
Infographic showing various Pytorch Developer job openings in British Columbia as of July 2026, with employment types broken down into 85% Full Time, 3% Part Time, 1% Temporary, and 11% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution.

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

C-Serv

Vancouver, BC • On-site

Full-time

Medical, Dental, Vision, Life, PTO

Re-posted 5 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 AI 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