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Pytorch Developer Jobs in Calgary, AB (NOW HIRING)

Targeted Talent

Senior Deep Learning Engineer

Calgary, AB · On-site +1

$130K - $180K/yr

We're seeking top-notch engineers to join our team. As part of our group, you'll collaborate with ... Proficiency in deep learning frameworks like Tensorflow and/or PyTorch * Experience with CNNs ...

Targeted Talent

Senior Deep Learning Engineer

Calgary, AB · On-site +1

$130K - $180K/yr

We're seeking top-notch engineers to join our team. As part of our group, you'll collaborate with ... Proficiency in deep learning frameworks like Tensorflow and/or PyTorch * Experience with CNNs ...

Amd

Staff Software Development Engineer

Calgary, AB · On-site

Knowledge or applied experience with popular AI/ML Frameworks like PyTorch and TensorFlow ... Experience implementing professional software engineering practices, requirements elicitation and ...

Viridien

Machine Learning Engineer

Calgary, AB · On-site

Machine Learning Engineer Calgary, AB, Canada Full-time Company Description Viridien is a global ... Proven experience with deep learning frameworks and usage of DL libraries (TensorFlow/PyTorch)

TELUS

L4 Technical Professional

Calgary, AB · On-site

Strong programming skills in Python and experience with popular machine learning libraries such as TensorFlow, PyTorch and scikit-learn * Solid understanding of statistical analysis, data mining ...

Clio

Staff Data Scientist

Calgary, AB · Hybrid

CA$192K - CA$230K/yr

Hands-on experience with LLM orchestration (LangChain, Haystack), vector databases, and PyTorch or TensorFlow. * System Design: Strong understanding of software engineering principles (microservices ...

TELUS

Senior Data Analyst (L4)

Calgary, AB · On-site

You will own the feature engineering process and deploy models that proactively solve customer ... Scikit-learn, TensorFlow/PyTorch, Vertex AI (GCP) , Claude (Anthropic)

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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 Calgary, AB? For Pytorch Developer jobs in Calgary, AB, the most frequently searched job titles are:
What job categories do people searching Pytorch Developer jobs in Calgary, AB look for? The top searched job categories for Pytorch Developer jobs in Calgary, AB are:
Pytorch Developer jobs near you
Infographic showing various Pytorch Developer job openings in Calgary, AB as of June 2026, with employment types broken down into 97% Full Time, and 3% Part Time. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution.

Machine Learning Engineer (Energy) - MLEEAS

NavitasPartners

Calgary, AB • On-site

$30/hr

Other

Posted 19 days ago

Job description

Job Title : Machine Learning Engineer (Energy)Industry

Energy & Utilities

Position Overview

The ML Engineer will develop and deploy machine learning models supporting predictive maintenance, energy demand forecasting, asset optimization, and renewable energy production analytics.

Responsibilities
  • Develop machine learning pipelines.
  • Build predictive analytics solutions.
  • Deploy ML models into production.
  • Optimize model performance and monitoring.
  • Collaborate with data scientists and engineers.
  • Support AI-driven operational excellence programs.
Required Skills
  • Python
  • Machine Learning
  • TensorFlow
  • PyTorch
  • Scikit-Learn
  • Databricks ML
  • Feature Engineering
  • Model Deployment
Preferred Skills
  • Predictive Maintenance
  • Demand Forecasting
  • Energy Load Optimization
  • Renewable Energy Analytics
Mandatory Experience
  • 5+ years in Machine Learning Engineering.
  • Must have prior Energy sector experience.


For more details reach at resumes@navitassols.com

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