AI Vision Engineer
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Before you apply
LocationToronto - Canada
Work modehybrid
Typefull-time
SeniorityMid
Experience3+ yrs
DepartmentEngineering
EquityIncluded
Company size51–200 people
PostedAug 27, 2026 · 2mo ago
Verified live9h ago
At a glanceSummarised by Seekless from the posting.
Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, Mathematics, Statistics, Artificial Intelligence, or a related technical field, or equivalent practical experience
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
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
Skills
Python
PyTorch
OpenCV
YOLO
Detectron2
MMDetection
Hugging Face Transformers
TensorRT
ONNX Runtime
Docker
Kubernetes
PostgreSQL
AWS
GCP
LangChain
LangGraph
About the company
Nexxais 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.
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Develop and fine-tune vision-language models (VLMs) for multimodal reasoning, visual question answering, and document understanding.
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Design and optimize real-time inference pipelines for deployment on edge devices and in the cloud.
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Build scalable data pipelines for image and video collection, annotation, augmentation, training, and evaluation.
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Fine-tune and evaluate open-source vision and multimodal foundation models using modern training and inference frameworks.
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Develop robust evaluation frameworks and benchmarks to measure model accuracy, robustness, latency, and business impact.
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Optimize models for production constraints, including quantization, pruning, and hardware-accelerated inference.
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Collaborate with product, engineering, and research teams to translate business requirements into technical vision solutions.
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Contribute to architecture decisions, technical design reviews, and AI/CV best practices.
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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.
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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.
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A strong collaborator who can contribute across research, engineering, and product discussions.
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Someone excited about solving challenging real-world problems using computer vision.
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An individual who takes ownership, moves quickly, and thrives in an environment with significant autonomy.
Benefits
Why JoinNexxa.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.
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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.