Jobs in Canada

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Added 2 months ago
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AI Vision Engineer
Nexxa.AI
Remote, Canada
- Full-time
- Remote
Experience with common CV/detection frameworks (e.g., YOLO, Detectron2, MMDetection, or similar).
Added 2 months ago
N
Staff DevOps Engineer
Nexxa.AI
Remote, Canada
- Full-time
- Remote
Excellent scripting/programming skills (Python, Go, or Bash) for automation and tooling
Added 2 months ago
N
Backend AI Engineer
Nexxa.AI
Remote, Canada
- Full-time
- Remote
Strong proficiency in TypeScript/Node.js (our primary backend language), with strong API and microservice design skills. Working proficiency in Python is a plus for ML/model integration…
Added 2 months ago
Senior Security Engineer, Device/Hardware
Motive
Toronto, ON
Motive empowers the people who run physical operations with tools to make their work safer, more productive, and more profitable. For the first time ever, safety, operations and finance…
Added 2 months ago
RB
Senior AI Engineer
Royal Bank of Canada
Toronto, ON
- Full-time
Demonstrated experience designing and building MCP servers and tools with familiarity of agent-tool integration frameworks
Added 2 months ago
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Senior Associate SIEM Implementation
PwC
Calgary, AB · Vancouver, BC · Ottawa, ON · Toronto, ON · Montreal, QC
- Full-time
Build use cases aligned with NIST and MITRE ATT&CK frameworks to enable detection at various stages of a cyber-attack.
Added 2 months ago
R
Senior AI Engineer
RBC
Toronto, ON
- Full-time
Demonstrated experience designing and building MCP servers and tools with familiarity of agent-tool integration frameworks
Added 2 months ago
Intermediate AI Engineer
Price Industries Limited
Winnipeg, MB
Join our AI team as an Intermediate AI Engineer, where you'll build and deploy AI applications, agents, and automation solutions that solve real business problems. You'll work closely with…
Added 5 months ago
AM
3D IC and ADVANCED PACKAGING CAD ENGINEER
Advanced Micro Devices, Inc
Markham, ON
- Full-time
Experience building or working with LLM-based tools, agentic AI frameworks, or AI-assisted automation pipelines.
Added 3 months ago
AM
AI and Automation Software Engineer
Advanced Micro Devices, Inc
Markham, ON
- Full-time
Design, develop, test, and deploy automation solutions using Python and other relevant programming languages.
Added 5 months ago
R
Staff Platform Engineer
Rivian
Vancouver, BC
- Full-time
As a Staff-level engineer, you must possess the coding proficiency to architect in-house platform tooling
Added 5 months ago
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Manager, Data Platform(s) Architect, Data & AI
KPMG
Calgary, AB · Vancouver, BC
- Full-time
…develop skills for the future, and take ownership of your career with support at every stage. Join a firm where your career can make a…
Added 4 months ago
K
Manager, Software Delivery Developer - Gen AI and AI-Accelerated Modernization
KPMG
Montreal, QC · Quebec City, Quebec
- Full-time
As a Manager, Software Delivery Developer, you will combine hands-on technical leadership with team management and client delivery. You will lead development workstreams, guide architecture…
Added 4 months ago
K
Senior Consultant, Software Delivery Developer - Gen AI and AI-Accelerated Modernization
KPMG
Montreal, QC · Quebec City, Quebec
- Full-time
Strong hands-on development experience with C# and .NET, plus one or more modern languages or frameworks such as Java, JavaScript/TypeScript, Python, or similar.
Added 4 months ago
K
Consultant, Software Delivery Developer - Gen AI and AI-Accelerated Modernization
KPMG
Montreal, QC · Quebec City, Quebec
- Full-time
As a Consultant, Software Delivery Developer, you will work with experienced technical professionals to build software solutions for clients. You will contribute to development, testing,…
Added 4 months ago
K
Senior Consultant, Software Delivery Developer
KPMG
Calgary, AB
- Full-time
Strong hands-on development experience with C# and .NET, plus one or more modern languages or frameworks such as Java, JavaScript/TypeScript, Python, or similar.
Added 4 months ago
K
Manager, Software Delivery Developer
KPMG
Calgary, AB
- Full-time
As a Manager, Software Delivery Developer, you will combine hands-on technical leadership with team management and client delivery. You will lead development workstreams, guide architecture…
Added 3 months ago
K
Senior Manager, SR&ED (Software Engineer)
KPMG
Vancouver, BC
- Full-time
Hands-on experience building software with AI coding agents and tools (Claude Code, Cursor, GitHub Copilot, Codex, MCP, custom skills/subagents, automation agents, and multi-agent…
Added 2 months ago
TH
Sr. Cyber Security Analyst - AI Security & Microsoft 365 Security
Trillium Health Partners
Mississauga, ON
- Full-time
…identifying, assessing, and mitigating cybersecurity risks associated with Generative AI, Agentic AI, Large Language Models (LLMs), Copilot technologies, AI-powered business applications,…
Added 2 months ago
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Principal Consultant - Cybersecurity & Agentic AI
Synechron
Toronto, ON · Greater Toronto Area, Canada
- $130,000 to $145,000 CAD / year
- Full-time
Advanced technical proficiency in multiple programming language (Java, C#, C, C++, Python, JavaScript/TypeScript, .NET, Go) with proven ability to personally write, review, and remediate…
Added 2 months ago
A
Manager, Site Reliability Engineering
Akkodis
Toronto, ON · Etobicoke, ON
- Full-time
Working Model: Hybrid - 3 days per week in office
Added 2 months ago
AW
Sr. Manager, Physical Design Engineering, Annapurna Labs
Amazon Web Services (AWS)
Toronto, ON
- Full-time
Experience with hierarchical methodologies for very large SoCs (>1B transistors). Expert scripting in TCL, Python, Perl.
Added 2 months ago
Z
Associate LLM Engineer (Forward Deployment)
ZS
Toronto, ON
- Full-time
We are seeking a highly skilled LLM Engineer with 1-4 years of experience in software development and 1-2 years in LLM solution development,. The ideal candidate will have strong experience…
Added 2 months ago
TA
Forward Deployed Engineer (Generative AI)
Tiger Analytics Inc.
Remote, Canada
- Full-time
- Remote
AI Frameworks: Hands-on experience with LLM orchestration tools (LangChain, LlamaIndex, AutoGen) and deep learning frameworks (PyTorch, Hugging Face) optimized for GCP infrastructure.
Added 3 months ago
DC
Software Quality Assurance Co-op
Delta Controls
Surrey, BC
- $23 to $26 CAD / hour
- Internship
Design, coding and maintenance of automation frameworks, tests and tools.

Nexxa.AI

AI Vision Engineer

Remote, Canada

Remote

Full-time

Apply on jobs.ashbyhq.com About employer

Applications open in a new tab.

Job details

Job type: Full-time
Workplace: Remote
Remote eligibility: Canada listed. Check the posting for province restrictions.
Experience: 3+ years of industry experience in Computer Vision, Machine Learning, Applied AI, or related fields.
Posting language: English
Posted: Aug 27, 2026

Original job description

Nexxa is building the best AI systems for heavy industries - enabling machines, systems and operations to think, decide and act autonomously across manufacturing, large-scale infrastructure, logistics and legacy environments.
Our mission is to translate deep technical breakthroughs into operational reality, solving some of the hardest systems-level problems in industry.

Role Overview

We are looking for an AI Vision Engineer to help design, build, and deploy next-generation computer vision systems across a diverse set of real-world industrial applications.

This role is ideal for someone with a strong foundation in Computer Vision and Machine Learning who is excited about working across the full vision stack, including classical and deep-learning-based CV, vision-language models (VLMs), multimodal reasoning, and real-time inference at the edge and in the cloud.

You will work closely with our AI and engineering teams to develop production-ready vision solutions, improve model performance, and help shape the next generation of intelligent visual systems.

What You'll Do

Design, train, evaluate, and deploy computer vision models for real-world industrial applications.
Build and optimize CV pipelines for tasks such as object detection, segmentation, classification, OCR, tracking, and visual understanding.
Develop and fine-tune vision-language models (VLMs) for multimodal reasoning, visual question answering, and document understanding.
Design and optimize real-time inference pipelines for deployment on edge devices and in the cloud.
Build scalable data pipelines for image and video collection, annotation, augmentation, training, and evaluation.
Fine-tune and evaluate open-source vision and multimodal foundation models using modern training and inference frameworks.
Develop robust evaluation frameworks and benchmarks to measure model accuracy, robustness, latency, and business impact.
Optimize models for production constraints, including quantization, pruning, and hardware-accelerated inference.
Collaborate with product, engineering, and research teams to translate business requirements into technical vision solutions.
Contribute to architecture decisions, technical design reviews, and AI/CV best practices.
Stay current with the latest advancements in computer vision, multimodal AI, and autonomous systems.

Required Qualifications

Education

Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, Mathematics, Statistics, Artificial Intelligence, or a related technical field, or equivalent practical experience.

Experience & Skills

3+ years of industry experience in Computer Vision, Machine Learning, Applied AI, or related fields.
Demonstrated experience independently owning and delivering computer vision projects from concept to production.
Strong programming skills in Python.
Hands-on experience with PyTorch and modern deep learning workflows.
Experience developing and deploying computer vision models (detection, segmentation, classification, OCR) in production environments.
Experience working with image and video processing libraries such as OpenCV.
Experience with common CV/detection frameworks (e.g., YOLO, Detectron2, MMDetection, or similar).
Experience working with VLMs, multimodal models, or Generative AI applications.
Strong understanding of machine learning fundamentals, model evaluation, experimentation, and model deployment.
Experience working with Hugging Face Transformers and open-source AI ecosystems.
Familiarity with data annotation workflows, dataset curation, hyperparameter optimization, and inference optimization.
Experience building production-grade software and AI systems.
Strong analytical and problem-solving skills.
Excellent communication and collaboration skills.

Preferred Qualifications

Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Computer Vision, or a related field.
Experience with OCR, document understanding, or visual reasoning systems.
Experience with Vision-Language Models (VLMs) and multimodal AI applications.
Familiarity with 3D vision, SLAM, or sensor fusion (e.g., camera + LiDAR) for industrial or robotics applications.
Experience with real-time inference optimization (TensorRT, ONNX Runtime, quantization, pruning).
Experience deploying models on edge hardware (e.g., NVIDIA Jetson, embedded systems).
Experience with LangChain, LangGraph, or agentic AI frameworks combining vision and language models.
Experience with vector databases and visual/semantic retrieval systems.
Experience deploying AI systems on AWS, GCP, or other cloud platforms.
Experience with Docker, Kubernetes, and MLOps workflows.
Experience with PostgreSQL and large-scale data systems.
Experience with model serving, distributed training, and inference optimization at scale.
Contributions to open-source projects, technical blogs, research publications, Kaggle competitions, or other demonstrable CV/AI work.
Experience working in startup or high-growth environments.

What We're Looking For

A builder who enjoys taking vision systems from prototype to production.
Someone comfortable working across classical Computer Vision, deep learning, and multimodal Generative AI.
An engineer who is curious, adaptable, and eager to learn emerging vision and AI technologies.
A strong collaborator who can contribute across research, engineering, and product discussions.
Someone excited about solving challenging real-world problems using computer vision.
An individual who takes ownership, moves quickly, and thrives in an environment with significant autonomy.

Why Join Nexxa.AI?

Innovative Environment: Play a critical role in transforming heavy industries through groundbreaking AI and automation technologies.
Collaborative Culture: Be part of a team that values innovation, discipline, and continuous improvement.
Professional Growth: Benefit from significant opportunities for career development and advancement.
Competitive Compensation: Enjoy a comprehensive salary and equity package reflective of your expertise and contributions.

If you're passionate about development and eager to shape the infrastructure powering advanced AI solutions, we'd love to connect.

Apply on jobs.ashbyhq.com About employer

More about this job

Responsibilities

Design, train, and deploy computer vision models for industrial applications including object detection, segmentation, and multimodal reasoning. Collaborate with engineering teams to optimize inference pipelines for edge and cloud environments while ensuring production-grade performance.

Requirements

Requires a bachelor's degree in a technical field and at least 3 years of industry experience in computer vision or machine learning. Candidates must possess strong Python programming skills and hands-on experience with PyTorch and modern deep learning frameworks.

Skills

Computer Vision
Machine Learning
Python
PyTorch
Deep Learning
OpenCV
YOLO
Detectron2
Vision-Language Models
Multimodal AI
Inference Optimization
Edge Computing
Cloud Deployment
Data Pipelines
Model Evaluation
Software Engineering

Benefits

Competitive compensation
Equity package
Professional growth opportunities

Visa sponsorship

Not detected in the job text

Keywords

Computer Vision
Machine Learning
Python
PyTorch
Deep Learning
OpenCV
YOLO
Detectron2
MMDetection
Vision-Language Models
Multimodal AI
Generative AI
Inference Optimization
TensorRT
ONNX Runtime
Edge Computing
Cloud Platforms
AWS
GCP
Docker
Kubernetes
MLOps
PostgreSQL
Data Annotation
Object Detection
Segmentation
OCR
Industrial Automation
Robotics
Autonomous Systems

Seniority

Mid level

Perks

Stock or equity

Tools

PyTorch
OpenCV
YOLO
Detectron2
MMDetection
Hugging Face Transformers
TensorRT
ONNX Runtime
NVIDIA Jetson
Docker

Languages

English

Fields of study

Computer Science
Computer Engineering
Electrical Engineering
Mathematics
Statistics

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Work requirements

Jobs in Canada