Senior Computer Vision Engineer

valeriia teslya

Published: 12 Nov, 2025

We are looking for an experienced Computer Vision Engineer to join the team and help build a real-time multi-camera person tracking system for automated (unmanned) retail stores. The ideal candidate has strong expertise in object detection, multi-object tracking, pose estimation, and maintaining identity consistency across multiple camera views. This role involves developing and optimizing deep learning models, handling complex challenges such as occlusions, lighting variations, and overlapping fields of view, and deploying high-performance solutions on edge devices or servers.

The project develops and deploys next-generation retail solutions specializing in unmanned (self-service) store concepts. They provide a full-stack decision: the store infrastructure, cameras/sensors/entry solutions, mobile apps, self‑scan/checkout, real‑time tracking, analytics and AI.

Requirements:

  • 5+ years of experience in computer vision, tracking, or deep learning
  • Strong proficiency in Python and Deep Learning frameworks (PyTorch, TensorFlow)
  • Expertise in object detection, multi-object tracking (MOT), camera calibration, and triangulation
  • Solid foundation in computer vision algorithms, linear algebra, and optimization techniques
  • Experience in model training, evaluation, fine-tuning, and adaptation on in-house datasets for applied use cases
  • Hands-on experience with real-time tracking or video analytics pipelines and deployment on edge devices or servers
  • Proven experience building production-grade CV systems (not just research prototypes)
  • Experience integrating tracking modules into production systems (apps, IoT sensors, retail automation, robotics)

Responsibilities:

  • Develop and optimize person detection and tracking pipelines for multi-camera systems
  • Integrate pose estimation and appearance-based embeddings for improved identity consistency
  • Handle challenges like occlusions, lighting variations, and overlapping fields of view
  • Fine-tune and adapt tracking models on in-house datasets
  • Collaborate with software engineers to deploy solutions on edge devices or servers
  • Benchmark system performance and implement optimizations for latency, accuracy, and scalability

We offer:

  • Competitive salary with regular reviews
  • Vacation (up to 20 working days)
  • Paid sick leaves (10 working days)
  • National Holidays as paid time off
  • Flexible working schedule, remote format
  • Direct cooperation with the customer
  • Dynamic environment with a low level of bureaucracy and great team spirit
  • Challenging projects in diverse business domains and a variety of tech stacks
  • Communication with Top/Senior-level specialists to strengthen your hard skills
  • Online teambuildings.

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    Dear ,

    Thank you for applying for the position at nCube. Your application has been successfully received and is currently under review by our recruitment team. We will be in touch soon to discuss your application further and to outline the next steps if your skills and expertise are a match with the requirements. In the meantime, feel free to browse our Company Blog for the latest updates and insights.

    Looking forward to connecting with you soon!

    Best regards,
    nCube Recruitment Team

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