Computer Vision Engineer (EalgeSight.ai)

AltaML; Edmonton; Hybrid; CAD 80,000 - 120,000; Full time

Job summary

An innovative firm is seeking a Computer Vision Engineer to architect and deploy cutting-edge vision algorithms that enhance property-level solutions. This role combines research and engineering, allowing you to transform novel concepts into optimized models for both edge and cloud platforms. You will collaborate with cross-functional teams, optimize performance through advanced techniques, and maintain high engineering standards. If you're passionate about computer vision and thrive in a dynamic environment, this opportunity offers a chance to make a significant impact in the field.

Qualifications

• 3+ years of experience developing computer vision algorithms.
• Proficient in Python; C++ experience an asset for performance-critical components.

Responsibilities

• Develop and productionize computer vision solutions for property-level deployments.
• Create data ingestion, annotation, training, validation, and CI/CD workflows.

Skills

Computer Vision Algorithms

OpenCV

TensorFlow

PyTorch

Python

C++

Model Optimization

RESTful APIs

CI/CD

Tools

Docker

Kubernetes

GitHub Actions

Job description

As a Computer Vision Engineer with EagleSight.ai, you will architect, build, and deploy state‑of‑the‑art vision algorithms that power rapid, per‑property rollouts of our solution. This hands‑on role blends research, engineering, and real‑world deployment: you’ll turn novel ideas into robust, optimized models running at scale on edge and cloud platforms.

This role is based out of Edmonton, Alberta with a requirement to be in office 3+ days per week. Only those who are qualified and reside in Edmonton will be contacted.

What You'll Do:

• Design & Implement – Develop and productionize computer vision solutions (e.g., object detection, segmentation, tracking) tailored for property‑level deployments.
• Optimize & Accelerate – Apply model compression, quantization, and hardware‑specific optimizations (TensorRT, ONNX Runtime, etc.) to achieve low latency and high throughput on edge devices and on-prem servers.
• Build End‑to‑End Pipelines – Create data ingestion, annotation, training, validation, and CI/CD workflows that seamlessly integrate with our Project Intercept platform.
• Collaborate Cross‑Functionally – Partner with ML Developers, Software Engineers (frontend & backend), Product Managers, and Designers to bring features from prototype to production.
• Deploy & Monitor – Containerize models (Docker, Kubernetes) for automated deployment, then instrument performance monitoring and feedback loops to continually improve accuracy and reliability.
• Code Review & Mentorship – Maintain high engineering standards through peer reviews and knowledge sharing, supporting the growth of our vision‑AI practice.
• Stay on the Cutting Edge – Research emerging computer vision techniques and recommend the best fit for our product roadmap.

What You Bring:

• 3+ years of experience developing computer vision algorithms.
• Strong CV Foundations – Hands‑on experience with OpenCV and deep learning frameworks such as TensorFlow, PyTorch, or Caffe.
• Programming Expertise – Proficient in Python; C++ experience an asset for performance‑critical components.
• Model Optimization Skills – Familiarity with quantization, pruning, and hardware accelerators (GPU, VPU).
• Real‑Time Processing Know‑How – Experience building vision pipelines for live video streams or embedded systems.
• API & Microservices – Solid understanding of RESTful APIs, microservice architectures, and CI/CD tooling (e.g., GitHub Actions).
• Entrepreneurial Mindset – Thrive in a fast‑paced environment, ready to iterate quickly and own end‑to‑end delivery.

Bonus Points:

• Familiarity with edge‑deployment SDKs (e.g., NVIDIA Jetson).
• Experience with GPU accelerated frame capture/processing pipelines such as GStreamer/NVIDIA DeepStream SDK.
• Background in container orchestration or infrastructure as code using Ansible.