Data Scientist with a focus on Computer Vision (Data Competency Center) in Sigma Software

Data Scientist with a focus on Computer Vision (Data Competency Center) Budapest (Hungary), Kyiv, Kharkiv, Lviv, Dnipro, Odesa, Vinnytsia, Ivano-Frankivsk, Lutsk, Morshyn, Poltava, Sumy, Ternopil, Cherkasy, Chernivtsi, Burgas ( Bulgaria), Warsaw (Poland), Krakow (Poland), Lisbon (Portugal), New York (USA), Poznań (Poland), Prague (Czech Republic), Stockholm (Sweden) Step into the role ofaData Scientist atSigma Software, with afocus on Computer Vision. In this dynamic position within our Data Competency Center, you will spearhead innovation, craft solution architectures, and participate in pre-sales activities, leveraging the forefront of Computer Vision technology. Project Weare a team of 160+ professionals. Weare very different, but afew things make usatrue team: agenuine passion for our work, friendliness, and inexhaustible optimism, no matter what. AsaMiddle Data Scientist joining BU003 Data Competency Center, you will be pivotal in shaping and driving its endeavors. RESPONSIBILITIES Define and refine technical requirements for Computer Vision projects include collaboration with clients and Team Leads Lead the creation and implementation of advanced Computer Vision models for object detection, image classification, and real-time video analysis Incorporate classical machine learning techniques, such as clustering, classification, and anomaly detection, into Computer Vision projects toenhance accuracy and efficiency Work with a variety of data sources to prepare and optimize data for Computer Vision applications, ensuring robust model training and performance Guide the integration ofComputer Vision models into production systems, focusing on real-time performance and scalability Stay abreast of emerging trends and technologies in Computer Vision, experimenting with new tools and methods topush the boundaries of current models and solutions Communicate the value and impact of Computer Vision projects to stakeholders, effectively translating complex technical achievements into strategic business advantages Actively participate in the evaluation of new tools for analytical data engineering ordata science REQUIREMENTS Established expertise in Computer Vision, reinforced by strong proficiency in Python and a deep understanding of essential frameworks such as OpenCV, TensorFlow, and PyTorch Comprehensive knowledge and hands-on experience with various neural network architectures, including Convolutional Neural Networks (CNNs), Fast R-CNN, VGG, ResNet, YOLO, and SSD, for tasks such as image classification, object detection, segmentation, and real-time video processing. Familiarity with implementing techniques like transfer learning, data augmentation, and fine-tuning tooptimize model performance Solid background in classical machine learning techniques, with proven ability to integrate these methods with advanced Computer Vision technologies effectively Demonstrated success in managing and analyzing diverse data sources, including structured, unstructured , and real-time data streams, toprepare and optimize data for Computer Vision models Commitment toongoing professional development, with afocus onstaying abreast of the latest advancements inComputer Vision memethodologies, tools, and classical machine learning techniques English proficiency: Confident Intermediate level or higher (both written and spoken) PERSONALPROFILE: Demonstrated problem-solving and analytical thinking skills, with approved track record of applying these skills to real-world challenges to identify problems, gather relevant data, and develop creative solutions Continuous learning mindset, ensuring you stay updated with the latest advancements in deep learning and adapt skills accordingly PROJECT We are a team of 160+ professionals. We are very different, but several things make us a real team: genuine passion for our work, friendliness and exhaustive optimism, no matter what. Joining the BU003 Data Competency Center as a Middle Data Scientist, you will play a decisive role in shaping and developing its activities. RESPONSIBILITIES Define and specify technical requirements for computer vision projects in close collaboration with clients and team peers Manage the creation and implementation of advanced computer vision models for object detection, image classification and real-time video analysis Implement classical machine learning methods such as clustering, classification and anomaly detection , computer vision projects to improve accuracy and efficiency Work with disparate data sources to prepare and optimize data for computer vision applications, ensuring reliable model training and performance Manage the integration of computer vision models into production systems, focusing on real-time productivity and scalability Keep abreast of new trends and technologies in the field of computer vision, experiment with new tools and methods to push the boundaries of existing decision models Communicate the value and impact of computer vision projects to stakeholders, effectively translating complex technical advances into strategic business benefits Actively participate in the evaluation of new tools for analytical data engineering or science data Knowledge of the English language: Confident level of Intermediate or higher (both written and verbal) REQUIREMENTS Experience in the field of computer vision, supported by a high level of command of the Python programming language and a deep understanding of the main frameworks such as OpenCV, TensorFlow and PyTorch Comprehensive knowledge and practical experience of working with different neural network architectures , including Convolutional Neural Networks (CNN), Fast R-CNN, VGG, ResNet, YOLO and SSD, to perform tasks such as image classification, object detection, segmentation and real-time video processing Knowledge of implementation methods such as transfer learning, data augmentation settings to optimize model performance Solid experience in classical machine learning methods with a proven ability to effectively integrate these methods with advanced computer vision technologies Having successful experience in managing and analyzing a variety of data sources, including structured, unstructured real-time data flow data, with the aim of preparing and optimizing data for computer vision models vision Striving for permanent professional development, with an emphasis on persistent tracking of the latest toadvances in methodologies, computer vision tools and classic machine learning methods