Computer Vision Engineer
On-site•Salary not specified
Kyiv, Ukraine
Tech Stack
TensorFlowNumPyPythonLinuxPandasYOLOOpenCVPyTorch
Job Description, Responsibilities & Requirements
Description language:
About the Position
We are seeking a skilled Computer Vision Engineer to develop and implement computer vision algorithms for our unit, specializing in object detection, image classification, and object tracking.
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 software and hardware complexes of the unit.
- Optimization of models for real-time operation on computational platforms using GPU.
- Participation in the 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 work of the unit.
- Preparation of technical documentation and reporting on developed solutions.
Requirements
- Higher technical education (computer science, applied mathematics, electronics, automation, or related specialties).
- Experience in developing machine vision systems for at least 2 years.
- Deep understanding of the principles of computer vision and image processing.
- 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 preparing and annotating datasets.
- 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 provision according to the norms of current legislation.
- Completion of specialized training.
- Monetary provision 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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