{"id":3758874,"url":"https://alion.io/job/inogate-software-developer-ccpython-computer-vision-ai","title":"Software developer (C/C++/Python, Computer Vision, AI)","company":{"id":4510006,"name":"Inogate","domain":"inogate.com","url":"https://alion.io/company/inogate","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Yerevan, Armenia"],"countries":["AM"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"C++","optional":false},{"name":"Computer Vision","optional":false},{"name":"Machine 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optimization, and deployment of the final solution.\n\nResponsibilities\n Develop, test, and optimize software using C, C++, and Python.\n\n Develop algorithms for image processing and analysis, object recognition, and visual feature extraction.\n\n Work with the OpenCV library to process images and video, implement computer vision algorithms, and analyze visual data.\n\n Apply artificial intelligence technologies and neural networks to develop proprietary software products.\n\n Integrate trained machine learning and deep learning models into software applications.\n\n Develop, train, test, and optimize AI models to solve practical problems.\n\n Optimize software performance, including real-time image processing.\n\n Conduct experiments, analyze results, and improve algorithm accuracy.\n\n Participate in software architecture design and the development of new technological solutions.\n\n Prepare technical documentation and provide ongoing support for developed software.\n\nRequired qualifications\n\n Proficiency in C, C++, and Python programming languages.\n\n In-depth understanding of digital image processing and computer vision principles.\n\n Practical experience working with the OpenCV library.\n\n Knowledge of machine learning (ML) and deep learning (DL) fundamentals.\n\n Understanding of neural network architectures and operating principles.\n\n Practical experience with modern deep learning frameworks such as PyTorch or TensorFlow.\n\n Understanding of key image processing techniques, including filtering, segmentation, edge detection, object detection and recognition, and geometric transformations.\n\n Ability to analyze algorithmic problems, select appropriate solution methods, and evaluate the performance of developed algorithms.\n\n Skills in debugging, testing, and optimizing software code.\n\n Ability to independently study technical documentation and learn new technologies.\n\n Strong systems thinking, analytical skills, and a results-oriented approach.\n\nAdditional informationPreferred Qualifications (Would Be an Advantage)\n\n Experience developing proprietary software products based on artificial intelligence and neural networks.\n\n Experience working with computer vision models, including YOLO, image segmentation, and object classification.\n\n Experience fine-tuning neural networks using custom datasets.\n\n Knowledge of CUDA and experience using GPUs to accelerate computations.\n\n Experience optimizing and deploying AI models for real-time applications.\n\n Knowledge of ONNX and TensorRT formats.\n\n Experience with Git, Linux, and build automation tools.\n\n Experience integrating computer vision algorithms into industrial, measurement, or automated 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