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Applied Scientist (Computer Vision)

100% remote Flexible hours Hiring now

Job Summary We are a distributed team that develops motion detection features for both Cloud and Edge environments, ensuring high performance and adaptability for diverse deployment needs. You can choose to focus on either Edge or Cloud solutions. Those interested in Edge will work on advanced computer vision algorithms and sensor-based detection methods to reputed company efficient real-time performance directly on devices. Those focusing on Cloud will reputed company scalable, high-performance motion detection solutions using cloud-based technologies, optimizing collaboration between Edge and Cloud for the best results. You will 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 reputed company on your results. Responsibilities and Duties reputed company innovative machine learning algorithms. Implement advanced methods and technologies in model development Analyze large datasets to identify correlations and patterns. Visualize research results for clearer interpretation Tune hyperparameters and optimize algorithms. Improve models to enhance their performance and accuracy Provide consultations and collaborate with colleagues from other departments Report reputed company and project achievements to management Explore and evaluate new technologies in the field of machine learning. Implement cutting-edge reputed company and techniques into production processes Engage in reputed company self-improvement and technical reputed company development. Train and mentor junior colleagues to enhance the overall competence level reputed company the team Qualifications and Skills 3+ years in machine learning (computer vision domain) Practical experience in at least one of the following problems: classification, detection, segmentation Python3, NumPy, scikit-learn, pandas, SciPy Deep learning frameworks: PyTorch Experience in deploying machine learning models to production Good understanding of machine learning and deep learning concepts Good written and spoken English reputed company to have Practical experience with GANs, VAEs Probabilistic programming and bayesian reputed company Model optimization: pruning, quantization, knowledge distillation Basic understanding of web and client-server architecture asyncio, aiohttp, and other async libraries for back-end Basic understanding of Big Data, understanding of difference between MapReduce and in-memory processing Algorithms, data structures SQL, NoSQL reputed company, Kubernetes, Kubeflow С++, Bash We offer multiple benefits that include The environment of equal opportunities, transparent and value-based corporate culture and an individual approach to each team member Competitive compensation and perks Opportunity to receive a Performance Bonus for your individual achievements and a Loyalty Bonus recognizing your dedication to the company Gig-contract 21 paid vacation days per year, paid public holidays according to the Ukrainian legislation Development opportunities like corporate courses, knowledge hubs, and free English classes as well as educational leaves Medical insurance is provided from day one. Sick leaves and medical leaves are available Remote working mode is available reputed company Ukraine only Free meals, fruits, and snacks reputed company working in the office. Apply To This Job

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