Real-Time Traffic CV Engineer - Edge & MLOps Lead

HR POD Careers; Islamabad; On-site; PKR 1,400,000 - 2,000,000; Full time

Job summary

A technology solutions firm in Islamabad is seeking an experienced professional to lead high-performance computer vision algorithms for real-time traffic violation detection. The role involves developing end-to-end pipelines, optimizing ML Ops processes, and collaborating with cross-functional teams. Ideal candidates should have over 5 years of experience in computer vision and strong proficiency in Python and relevant frameworks. This position offers opportunities to mentor junior engineers and innovate in the field of technology.

Qualifications

• 5+ years of experience in computer vision or related fields.
• Expert proficiency in Python and computer vision/ML frameworks.
• Strong expertise in designing and optimizing real-time algorithms.
• Hands-on experience with ML Ops practices.
• Deep understanding of machine learning and deep learning concepts.

Responsibilities

• Architect and build high-performance computer vision algorithms.
• Develop and optimize computer vision pipelines.
• Lead ML Ops efforts, including model deployment and optimization.
• Collaborate with engineers and developers for integration.
• Mentor junior engineers and enforce best practices.

Skills

Python

OpenCV

TensorFlow

PyTorch

Machine Learning

Deep Learning

Docker

Kubernetes

Git

AWS

GCP

Azure

Real-time data processing

IoT systems

Computer Vision

Job description

A technology solutions firm in Islamabad is seeking an experienced professional to lead high-performance computer vision algorithms for real-time traffic violation detection. The role involves developing end-to-end pipelines, optimizing ML Ops processes, and collaborating with cross-functional teams. Ideal candidates should have over 5 years of experience in computer vision and strong proficiency in Python and relevant frameworks. This position offers opportunities to mentor junior engineers and innovate in the field of technology.