Job SummaryOur distributed team develops motion detection features, ensuring high performance through cloud-based solutions. We are responsible for calibrating Edge and Cloud collaboration to achieve the best results.You will join as a Deep Learning Engineer and be responsible for day-to-day research tasks, such as setting up hypotheses, gathering data for experiments, training and validating ML models, validating results, and writing a paper on your results.Duties and ResponsibilitiesDevelop innovative machine learning algorithms. Implement advanced methods and technologies in model developmentAnalyze large datasets to identify correlations and patterns. Visualize research results for clearer interpretationTune hyperparameters and optimize algorithms. Improve models to enhance their performance and accuracyProvide consultations and collaborate with colleagues from other departmentsReport progress and project achievements to managementExplore and evaluate new technologies in the field of machine learning. Implement cutting-edge ideas and techniques into production processesEngage in continuous self-improvement and technical skill development. Train and mentor junior colleagues to enhance the overall competence level within the teamQualifications and Skills3+ years in machine learning (computer vision domain)Practical experience in at least one of the following problems: classification, detection, segmentationPython3, NumPy, scikit-learn, pandas, SciPyDeep learning frameworks: PyTorchExperience in deploying machine learning models to productionGood understanding of machine learning and deep learning conceptsGood written and spoken EnglishNice to havePractical experience with GANs, VAEsProbabilistic programming and bayesian frameworkModel optimization: pruning, quantization, knowledge distillationBasic understanding of web and client-server architectureasyncio, aiohttp, and other async libraries for back-endBasic understanding of Big Data, understanding of difference between MapReduce and in-memory processingAlgorithms, data structuresSQL, NoSQLDocker, Kubernetes, KubeflowBashWe offer multiple benefits that includeThe environment of equal opportunities, transparent and value-based corporate culture and an individual approach to each team memberCompetitive compensation and perks. Annual performance reviewGig-contract21 paid vacation days per year, paid public holidays according to the Ukrainian legislationDevelopment opportunities like corporate courses, knowledge hubs, and free English classes as well as educational leavesMedical insurance is provided from day one. Sick leaves and medical leaves are availableRemote working mode is available within Ukraine onlyFree meals, fruits, and snacks when working in the office.