Senior Object Tracking Algorithm Specialist - Remote

Engaging The Fourth Industrial Revolution

Abu Dhabi

Remote

AED 400,000 - 700,000

Full time

3 days ago
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Benefits offered by this job

100% remote
Competitive compensation
Professional development
Collaborative international team

Job summary

Engaging The Fourth Industrial Revolution is seeking a Senior Object Tracking Algorithm Specialist to design, develop, and optimize tracking systems for video data in a fully remote setup. You will apply deep learning, Kalman filtering, optical flow, and data association to build scalable solutions across diverse datasets and environments.

You will collaborate with CV engineers, ML scientists, and software developers, evaluating models with standard metrics and refining architectures to reduce

Qualifications

  • Bachelor's or master's degree in Computer Science, Artificial Intelligence, Robotics, Electrical Engineering, Data Science, or related field.
  • Significant professional experience in computer vision, object tracking, or machine learning algorithm development.
  • Strong understanding of object detection, multi-object tracking, motion estimation, and visual recognition.
  • Experience implementing tracking algorithms such as SORT, DeepSORT, ByteTrack, or equivalent methods.
  • Proficiency in Python and relevant CV/ML libraries, including OpenCV, PyTorch, TensorFlow.

Responsibilities

  • Design and develop tracking algorithms for single-object and multi-object tracking across video data.
  • Implement object detection and tracking pipelines using traditional computer vision and deep learning techniques.
  • Develop tracking methods based on Kalman filters, particle filters, optical flow, and motion estimation.
  • Apply tracking algorithms such as SORT, DeepSORT, ByteTrack, and other suitable approaches.
  • Integrate object detection models with tracking systems to maintain consistent object identities across video frames.
  • Develop data association methods to match detected objects across consecutive frames.
  • Optimize tracking performance under challenging conditions, including occlusion, motion blur, changing illumination, and camera movement.
  • Evaluate object tracking accuracy using metrics such as MOTA, MOTP, IDF1, HOTA, and identity-switch counts.
  • Conduct experiments to compare tracking architectures, association strategies, and model configurations.
  • Analyze tracking failures, identity fragmentation, missed detections, and false associations.
  • Develop preprocessing and post-processing methods to improve tracking stability and temporal consistency.
  • Optimize algorithms for processing speed, computational efficiency, and scalability.
  • Work with image and video datasets to prepare annotations, benchmark models, and validate tracking performance.
  • Collaborate with computer vision engineers, machine learning specialists, data scientists, and software developers.
  • Develop automated testing and evaluation frameworks for tracking algorithm validation.
  • Maintain technical documentation covering algorithm architecture, datasets, evaluation methods, and performance limitations.
  • Monitor algorithm performance across different environments, object categories, and video conditions.
  • Present technical findings and recommendations to engineering teams and project stakeholders.

Skills

Computer vision
Multi-object tracking
Problem solving
Communication
Independent work
Remote collaboration

Education

Bachelor's or Master's in CS/AI/Robotics/EE/Data Science

Tools

Python
OpenCV
PyTorch
TensorFlow

Job description

Engaging The Fourth Industrial Revolution is seeking a Senior Object Tracking Algorithm Specialist to design, develop, and optimize tracking systems for video data in a fully remote setup. You will apply deep learning, Kalman filtering, optical flow, and data association to build scalable solutions across diverse datasets and environments.

You will collaborate with CV engineers, ML scientists, and software developers, evaluating models with standard metrics and refining architectures to reduce

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