Вакансии

Ищем инженера по безопасности ПО от уровня middle, который усилит нашу команду в поиске и устранении уязвимостей. Ключевая задача — настройка и проведение фаззинг‑тестирования с использованием AFL++ и libFuzzer .

Стек: Kotlin, Jetpack Compose, MVVM/MVI, Coroutines + Flow, Dagger/Hilt, Cicerone, REST/GraphQL, Room, KMP/CMP, CI/CD.

Location: Bengaluru, Karnataka, India Responsibilities: Supports UK, Ireland, Malta, Sweden, Finland, Norway, and Denmark products across the product portfolio. Supports the team with regulatory strategies (local and regional) that are in line with the business plan Supports the team with regulatory activities for National and/or European procedures (Decentralized, Mutual Recognition) as appropriate. For example, but not limited to: Prepares and compiles regulatory submissions, response to questions, renewals, post submission/approval activities (including relevant updates to external websites such as emc, medicines.ie and In-Demand) Supports ad hoc projects (e.g., compliance reviews, audit preparation etc.) Signs off on packaging material, leaflets, and SmPCs (as appropriate) Supports the compilation of the Northern Cluster team metrics for the EMEA biannual metrics report Supports all regulatory activities in Malta Ensures regulatory compliance within the department to include: The maintenance of global, regional, and local databases Adherence to processes, SOPs, work instructions, and job aids Updates to relevant local and global databases to track current product information Supports team with Calls for Information (CFI) and assist in any Pharmacovigilance- related activities within the Northern Cluster, which may include: Receiving and monitoring responses to CFIs through liaison with UK and EAME colleagues Ensuring responses are submitted in a timely manner and that they are in line with standard procedures and metrics established by the VP Regulatory Affairs in European Regulatory Provide support and responses to ad hoc requests received from UK PV group or Global Reg Med Mailbox Supports the team with regulatory activities for National and/or European procedures (Decentralized, Mutual Recognition) as appropriate. Ensures regulatory compliance within the department Experience/Qualifications: Bachelor's/Master's degree in Life Science/Pharma Minimum of 5 ~ 8 years of relevant work experience working within a Regulatory Affairs Department (e.g., pharmaceutical, cosmetic, food supplements, etc.), with direct accountability for deliverables or a combination of direct Regulatory Affairs experience of CMC, Quality, or Regulatory Operations.

You own the accounts. Search, PMax, Demand Gen — you build it, you run it, you fix it when it breaks, and you report on it every Friday.

• Владеть архитектурой ключевых частей SDK на Swift (SwiftUI + UIKit-interop, concurrency); • Релевантный опыт разработки на iOS от 5 лет;

Задачи: — Построение инфраструктуры у клиентов на тех же принципах и с использованием тех же технологий, что и внутри компании — Интеграция облачных сервисов в инфраструктуру компании — Решение вопросов производительности 1С как в окружении разработки, так и помощь клиентам — Создание новой инфраструктуры на принципах immutable servers и решение проблем с текущей инфраструктурой — Разработка инструментов и автоматизации процессов развертывания систем, проектов и окружений — Автоматизирование задач администрирования и мониторинга Требования: — Уверенные знания и опыт администрирования MS Windows, Linux (Ubuntu) — Уверенные знания и опыт администрирования 1С 8.3, в том числе решение проблем производительности — Автоматизация развертывания: Ansible (Windows, Linux) — Опыт работы с IaaS/PaaS — Опыт работы с системами мониторинга: планирование, развертывание, настройка, эксплуатация — Хорошее владение как минимум одним из скриптовых языков (OneScript, shell, bash, python, groove) — Технический английский Будет плюсом: — Опыт интеграции инфраструктуры предприятия с облачными сервисами Yandex Cloud — Опыт конфигурирования и эксплуатации 1С в высоконагруженных проектах — MS SQL, PostgreSQL — Тонкая настройка кластера серверов 1С 8.3 и MSSQL — Опыт использования ИИ при работе Условия: — Удалённая работа — Оклад — Полный рабочий день — Оформление по ТК РФ, соцпакет — Компетентный руководитель и коллеги — Интересные и сложные задачи — Возможности для профессионального и карьерного роста — Абсолютно белая заработная плата

Location: Никольск Ищешь работу с возможностью карьерного развития и роста? Сбер раскроет твой карьерный потенциал! Откликайся! Обязанности * консультировать клиентов по всем продуктам и услугам Сбера, включая ипотеку * продавать банковские продукты и услуги * обучать клиентов пользоваться сервисами и продуктами Сбера * проводить кассовые операции: прием, выдача, обмен денег. Требования * имеешь образование среднее и выше * доброжелателен и готов помогать клиентам * активно используешь гаджеты и программы MS Office * готов использовать искусственный интеллект в ежедневной работе (обучение за счёт компании — есть свои курсы). Условия * ежемесячная, годовая премия и ежегодный пересмотр зарплаты * возможность влиять на свой доход * быстрый старт карьеры для тех, кто без опыта * работа в офисе нового формата рядом с домом или местом учебы * корпоративный планшет для комфортной работы * уникальная система онлайн обучения Сбера для карьерного развития и роста  * расширенный ДМС и льготное страхование для семьи * подписка Прайм с возможностью совместного использования на трёх близких * вознаграждение за рекомендацию друзей в команду Сбера * гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ. Будет преимуществом опыт работы в компаниях: Россельхозбанк, Росбанк, Совкомбанк, ГазпромБанк Яндекс, Ozon, Wildberries, Деловые Линии, ВТБ, Альфа-Банк, Тинькофф Банк, МТС, Билайн, Мегафон, Ростелеком. #начало\_карьеры #работа\_без\_опыта #менеджер\_по\_продажам #консультант #менеджер\_по\_обслуживанию #обслуживание\_физических\_лиц #менеджер #специалист\_банка #работа\_для\_начинающих #консультирование #кредитные\_продукты #продажи #страхование #вклады #ипотека #кредиты #касса #работа\_с\_наличными #банковские\_ценности #прием\_платежей

• 5+ years of commercial backend engineering experience in production environments. • Strong Go expertise, including concurrency, synchronization primitives, context propagation, goroutine lifecycle management, and graceful shutdown patterns.

🔹 Design and build scalable, reliable backend services. 🔹 Drive architecture and technical research.

Location: UK, London Workplace: OnSite Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further. ABOUT THE ROLE We are looking for a strong Deep Learning Engineer to join our Autonomy team and develop the learning-based algorithms that power dynamic locomotion and whole-body control on our humanoid robots. You will develop robust, reusable motion capabilities that enable the robot to move dynamically, maintain balance, interact with its environment, and combine locomotion with manipulation. This includes building the underlying learning-based motion primitives that can be composed into increasingly complex whole-body behaviors. You will work closely with robotics, controls, simulation, and machine learning engineers to turn learned behaviors into reliable capabilities running as part of the robot's real-time control stack.   WHAT YOU'LL DO - Design and train learning-based locomotion and whole-body control policies for dynamic robotic behaviors. - Develop motion primitives using different learning based generative models. - Apply reinforcement learning, imitation learning, and other learning-based approaches to motion generation and control. - Build scalable simulation, data generation, and training pipelines using platforms such as Isaac Lab and MuJoCo. - Develop methods for robustness, adaptation, and sim-to-real transfer, including domain randomization and learning from real-world robot data. - Deploy, evaluate, debug, and fine-tune learned policies on physical humanoid robots. - Optimize policy inference and training systems for the performance and latency requirements of real-time control. - Integrate learned policies into the broader robot control and autonomy stack.   WHAT WE'RE LOOKING FOR - BS, MS, or PhD in Robotics, Machine Learning, Computer Science, or a related technical field. - 3+ years of experience developing machine learning systems in industry or research. - Strong understanding of deep learning and modern policy architectures, including training, inference, experimentation, and debugging. - Hands-on experience with RL and at least one additional area such as imitation learning, generative models, sequence models, or large-scale representation learning. - Strong Python and PyTorch experience. - Experience with physics-based simulation environments such as Isaac Lab, Isaac Sim, MuJoCo, or similar platforms. - Ability to reason about learning algorithms in the context of dynamics, control, and physical systems. Nice to have: - Experience applying reinforcement learning or imitation learning to legged robots, humanoids, or other complex physical systems. - Experience with whole-body control, locomotion, motion imitation, or loco-manipulation. - Experience deploying learned policies on real robotic systems and debugging the sim-to-real gap. - Familiarity with motion capture, trajectory optimization, model-based control, or learning from demonstrations. - Experience training policies at scale across large numbers of simulated environments. - Publications at NeurIPS, ICML, ICLR, CoRL, RSS, CVPR, or equivalent contributions to impactful open-source robotics or machine learning projects.   WHAT WE OFFER - Competitive equity: stock options with meaningful upside as we scale. - 30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown). - Private healthcare, including virtual and in-person care. - Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings. - Free daily breakfast, catered lunch, and snacks in-office. - Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics. - Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.

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Твои задачи: Разработка, согласование, развитие и реализация стратегии бренда Familia. Разработка и реализация федеральных и сезонных рекламных кампаний (ТВ, OLV, ООН, места продаж) – от брифа креативных и продакшн команд до реализации.

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