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Pytorch Developer Jobs in Ontario (NOW HIRING)

Design scalable and resilient ML systems using frameworks such as PyTorch and TensorFlow ... Strong programming skills in Python; experience with LangChain, LangGraph, or related frameworks is ...

Design scalable and resilient ML systems using frameworks such as PyTorch and TensorFlow ... Strong programming skills in Python; experience with LangChain, LangGraph, or related frameworks is ...

Implement CI/CD workflows using tools such as Azure DevOps or GitHub Actions. * Ensure operational ... Strong knowledge of LLM frameworks and libraries (such as transformers, trl, deepspeed, PyTorch ...

Implement CI/CD workflows using tools such as Azure DevOps or GitHub Actions. * Ensure operational ... Strong knowledge of LLM frameworks and libraries (such as transformers, trl, deepspeed, PyTorch ...

... PyTorch, TensorFlow, and scikit-learn. Data Modeling and Warehousing: Migrate and re-architect data models to build and maintain data lakes and data warehouses (e.g., Snowflake), streamlining ETL/ELT ...

Implement CI/CD workflows using tools such as Azure DevOps or GitHub Actions. * Ensure operational ... Strong knowledge of LLM frameworks and libraries (such as transformers, trl, deepspeed, PyTorch ...

CA$65K - CA$75K/yr

Summary: The AI Developer is responsible for the design and building of agent-based systems that ... Experience with machine learning frameworks such as TensorFlow and PyTorch * Familiarity with LLM ...

New

Design scalable and resilient ML systems using frameworks such as PyTorch and TensorFlow ... Strong programming skills in Python; experience with LangChain, LangGraph, or related frameworks is ...

CA$65K - CA$75K/yr

Summary: The AI Developer is responsible for the design and building of agent-based systems that ... Experience with machine learning frameworks such as TensorFlow and PyTorch * Familiarity with LLM ...

New

... PyTorch, TensorFlow, and scikit-learn. Data Modeling and Warehousing: Migrate and re-architect data models to build and maintain data lakes and data warehouses (e.g., Snowflake), streamlining ETL/ELT ...

Summary: The AI Developer is responsible for the design and building of agent-based systems that ... Experience with machine learning frameworks such as TensorFlow and PyTorch * Familiarity with LLM ...

New

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Pytorch Developer information

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 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 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 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.

Senior Data Platform Engineer - Cloud & GenAI Enablement - AIRLHV

NavitasPartners

Ottawa, ON • On-site, Remote

$40/hr

Other

Posted 2 days ago


Job description

Senior Data Platform Engineer - Cloud & GenAI Enablement 

Location: US / Canada (Remote/Hybrid) 
Type: Contract / Full-Time 

Overview: 

We are seeking a Senior Data Platform Engineer to drive the development of scalable data infrastructures that support AI/ML and GenAI applications. This role plays a critical part in enabling enterprise-wide data and AI capabilities. 

Key Responsibilities: 

  • Build and maintain cloud-based data platforms and analytics solutions  
  • Enable integration of AI/ML and GenAI workloads into data ecosystems  
  • Ensure governance, security, and compliance across data platforms  

Required Skills: 

  • Strong experience with Azure Synapse, Databricks, Snowflake, or BigQuery  
  • Hands-on expertise with cloud platforms (AWS, Azure, GCP)  
  • Solid understanding of data modeling, ingestion, and transformation  

Nice to Have: 

  • Experience with Python, PyTorch, and ML frameworks  
  • Familiarity with LangChain or GenAI/agentic AI implementations  
  • Exposure to Responsible AI and compliance standards  

For more details reach at resumes@navitassols.com.