Primary stack

Machine LearningTensorFlowNumPyPythonPandasYOLOOpenCVPyTorch

Nice to have's

GPULinux

Job description

About the Position

We are seeking a skilled Computer Vision Engineer to develop and implement computer vision algorithms for our unit.

Responsibilities

  • Development and implementation of computer vision algorithms for the unit.
  • Creation, training, testing, and optimization of artificial intelligence models for automatic detection, classification, and tracking of objects.
  • Processing and analysis of video and photo data obtained from unmanned aerial systems, surveillance cameras, and other technical means.
  • Development of solutions for tasks such as Object Detection, Image Classification, Instance Segmentation, Semantic Segmentation, and Object Tracking.
  • Formation, preparation, annotation, and maintenance of datasets for training machine learning models.
  • Evaluation of model effectiveness based on key quality metrics and their subsequent improvement.
  • Integration of developed algorithms into the unit's software and hardware complexes.
  • Optimization of models for real-time operation on computing platforms using GPU.
  • Participation in testing and implementation of new technological solutions in combat and training conditions.
  • Interaction with programmers, UAV engineers, analysts, and other specialists for the implementation of joint projects.
  • Analysis of modern technologies in the field of computer vision and the implementation of best practices in the unit's work.
  • Preparation of technical documentation and reporting on developed solutions.

Requirements

  • Higher technical education (computer science, applied mathematics, electronics, automation, or related fields).
  • Experience in developing machine vision systems for at least 2 years.
  • Deep understanding of computer vision and image processing principles.
  • Practical experience in building and training object recognition models.
  • Understanding of modern neural network architectures for tasks such as Object Detection, Image Classification, Instance Segmentation, Semantic Segmentation, and Object Tracking.
  • Proficiency in Python.
  • Experience with: OpenCV, PyTorch or TensorFlow, Ultralytics YOLO (YOLOv8/YOLOv11), NumPy, Pandas.
  • Experience in dataset preparation and annotation.
  • Skills in evaluating model quality (mAP, Precision, Recall, F1-score).
  • Understanding of model training, validation, and optimization processes.
  • Experience working with GPU (NVIDIA CUDA).
  • Knowledge of Linux at the level of a confident user.

Conditions

  • Mobilization until the end of martial law or service under a contract.
  • Possibility of transferring current military personnel with the consent of the direct commander.
  • Monetary support according to the norms of current legislation.
  • Completion of specialized training.
  • Monetary support according to the norms of current legislation.

Contact Managers

  • 281a2560-d851-444a-85f8-b8a61b81c161
  • b0678f56-0d98-458d-bdde-3f440c081c96
  • 027b5e3f-2802-4498-b15d-f77d783967f8

429 окрема бригада безпілотних систем «АХІЛЛЕС»

⚔️ У строю з 24.02.2022

МАГАЗИН

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