25 - Computer Vision Expert (CCTV & Video Analytics)

Tunga; United States; A distancia; USD 120.000 - 180.000; Jornada completa

Descripción de la vacante

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.

Formación

• 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).

Responsabilidades

• 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.

Conocimientos

Computer vision

Video processing

Machine learning

Python

C++

Golang (plus)

RTSP

ONVIF

Problem solving

Educación

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

Herramientas

TensorFlow

PyTorch

OpenCV

Descripción del empleo

We're looking for a Computer Vision Expert who has taken object detection and video analytics all the way into production — not just in notebooks, but running on real CCTV streams in real environments.

You’ll design, build, and optimise the algorithms that turn raw video into automated detection, tracking, recognition, and event analysis, and you’ll help bring that intelligence into our client’s wider ecosystem of applications.

This is hands‑on work on large-scale, real-world video. If you’re equally comfortable reaching for a classical computer vision technique or a deep learning model depending on what the problem actually needs, and you care about latency and accuracy as much as the science, you’ll feel at home here.

What you’ll do

• Develop classical and AI-based computer vision algorithms for CCTV footage — object detection, tracking, and anomaly/event detection.

• Integrate the CCTV solution into the broader ecosystem of applications it needs to talk to.

• Work closely with software teams to make sure both edge and cloud-based solutions run efficiently.

• Measure what matters — accuracy, latency, scalability — and optimise systems for real‑time deployment.

What you bring

• A Master’s or PhD in Computer Science, Electrical Engineering, Artificial Intelligence, or a related field.

• Strong, demonstrable experience in computer vision, image/video processing, and machine learning.

• Proficiency with deep learning frameworks — TensorFlow, PyTorch, OpenCV, and similar.

• Solid programming skills in Python and C++ (Golang is a plus).

• Working knowledge of video streaming protocols such as RTSP and ONVIF.

• A genuine problem‑solver’s instinct, and the ability to work with real‑world, large-scale video datasets.

Nice to have

• Experience with real‑time video analytics and edge computing for CCTV.

• A background in auto‑labelling strategies such as model distillation.

• Optimisation experience for embedded systems and GPUs.

• An understanding of cybersecurity and privacy considerations in video surveillance.