Senior Computer Vision Engineer for Computer Vision Pipeline Workstream

BlueSky Ventures

Contract · Remote · Flexible hours

About the role

BlueSky Ventures is revamping the performance and reliability of its flagship visual analytics platform, codenamed "SkyLens". As a Computer Vision Engineer you will lead the redesign of image processing pipelines that power real‑time customer dashboards, ensuring low latency and high availability.

Key responsibilities

• Profile and refactor the existing OpenCV‑based inference service to reduce average latency by 30%.
• Implement automated health‑checks and circuit‑breaker patterns using Python and FastAPI.
• Containerize the CV micro‑services with Docker and orchestrate scaling policies in Kubernetes.
• Develop a CI/CD workflow in GitHub Actions that runs unit, integration, and performance tests on every pull request.
• Collaborate with data engineers to integrate a new TensorRT‑optimized model for object detection.
• Document performance benchmarks and create a runbook for on‑call incident response.

Must-have skills

• Deep expertise in Python, OpenCV, and TensorFlow/PyTorch.
• Proven experience optimizing computer‑vision pipelines for latency and throughput.
• Strong knowledge of REST API design and FastAPI or Flask frameworks.
• Hands‑on experience with Docker, Kubernetes, and CI/CD automation.
• Ability to profile GPU workloads and apply model quantization techniques.

Nice to have

• Familiarity with edge‑device deployment and TensorRT.
• Background in A/B testing visual models in production.