Real-Time CCTV Vision Engineer

Tunga; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

Tunga is seeking a Computer Vision Expert to bring object detection and video analytics to production on real CCTV streams. You will design, build, and optimize algorithms for real-time detection, tracking, recognition, and event analysis, integrating with our client’s wider app ecosystem.

You’ll work on large-scale, real-world video, using classical CV or deep learning as needed, with emphasis on latency and accuracy in production environments.

Qualifications

• Requires advanced degree in CS/EE/AI or related field.
• Proven experience in computer vision, image/video processing, and ML.
• Proficiency with deep learning frameworks (TF, PyTorch, OpenCV).

Responsibilities

• Develop CV algorithms for CCTV footage: detection, tracking, anomaly/event detection.
• Integrate CCTV solution with broader application ecosystem.
• Collaborate with software teams to run edge and cloud-based solutions efficiently.
• Measure accuracy, latency, and scalability; optimize for real-time deployment.

Skills

Computer vision

Video processing

Machine learning

Python

C++

Golang (plus)

RTSP

ONVIF

Problem solving

Education

Master’s or PhD in Computer Science / EE / AI

Tools

TensorFlow

PyTorch

OpenCV

Job description

Tunga is seeking a Computer Vision Expert to bring object detection and video analytics to production on real CCTV streams. You will design, build, and optimize algorithms for real-time detection, tracking, recognition, and event analysis, integrating with our client’s wider app ecosystem.

You’ll work on large-scale, real-world video, using classical CV or deep learning as needed, with emphasis on latency and accuracy in production environments.