• Владеть архитектурой ключевых частей SDK на Swift (SwiftUI + UIKit-interop, concurrency); • Релевантный опыт разработки на iOS от 5 лет;
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• 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
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Настроить подбор• 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.
Robinhood is looking for a Senior Product Designer to lead retail crypto design strategy and create intuitive trading experiences.
Robinhood is looking for a Senior Product Manager to lead trading tools and prediction-market product initiatives for retail investors.
Impossible Cloud is looking for Senior Sales Managers to own DACH managed-inference revenue and guide complex technical sales cycles to signed contracts.
Liminal is looking for a Senior Associate Sales Operations to coordinate sales processes, contracting, onboarding, invoicing, and stakeholder follow-ups.
TRM Labs is looking for a Senior Capture Manager to shape and lead complex public sector deal strategies and proposals.
TRM Labs is looking for a Senior Data Researcher to investigate financial crime and publish evidence-based research.
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.
Molecule is looking for a Senior Product Designer to shape web and mobile experiences, own the design system, and deliver accessible interfaces from concept through implementation.
— придумывать идеи разного масштаба: от мерча и небольших спецпроектов до охватных съёмочных кампаний и продуктовых запусков; — писать слоганы, нейминги, креативные лайны и сценарии роликов;
Задачи: — Руководство аудитами операций с криптовалютой — Проведение оценки рисков — Улучшение программ аудита Требования: — Опыт в области внутреннего аудита — Знание криптовалют и связанных с ними операций — Навыки управления рисками и соответствия нормативным требованиям Условия: — Гибридный формат работы — Местоположение: Менло Парк, Калифорния — Зарплата от $133,000 до $200,000 в год
Location: Abu Dhabi, United Arab Emirates; Dammam, Saudi Arabia; Jeddah, Saudi Arabia; Khobar, Saudi Arabia; Riyadh, Saudi Arabia; Amman, Jordan; Kuwait City, Kuwait; Doha, Qatar Workplace: on-site At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently seeking a Senior Full-Stack and AI Engineer to join one of our clients ' teams. If you're looking for an exciting opportunity to grow in a innovative environment, this could be the perfect fit for you. Responsibilities: Design, configure, and manage cloud-based lab environments, including Azure Databricks workspaces, AI coding tools, and development repositories. Develop hands-on technical exercises, starter repositories, and training materials for a 3-day programme. Prepare and validate access requirements, permissions, and technical setups before training delivery. Lead practical workshops covering AI-driven software development, agentic coding, CI/CD, and deployment automation. Deliver hands-on training in data engineering, including Spark, Delta Lake, ETL/ELT pipelines, lakehouse architecture, and data governance. Demonstrate AI platform security, including LLM guardrails, model access control, prompt injection prevention, and production monitoring. Conduct Azure Databricks labs covering workspace configuration, notebooks, Delta tables, pipelines, and model inference. Guide participants through integrating AI capabilities into full-stack applications using Python and TypeScript/JavaScript. Perform live coding, troubleshoot technical issues, and support participants with different experience levels. Facilitate team-based capstone projects involving AI-integrated application development. Collaborate with the AI instructor to coordinate technical sessions and practical exercises. Provide complete lab materials and a post-training delivery report. 5+ years of professional software engineering experience, including full-stack development with Python and TypeScript/JavaScript. Strong hands-on experience integrating LLM APIs and developing production AI applications. Proven production experience with Azure Databricks, including workspace configuration, Delta Lake, jobs, and data pipelines. Experience with AI engineering architecture, model serving, inference APIs, retrieval systems, and model evaluation. Practical knowledge of AI platform security, LLM guardrails, prompt injection prevention, and sensitive data protection. Proficiency with agentic AI coding tools such as Cursor, Claude Code, or GitHub Copilot. Strong experience with CI/CD pipelines, Azure cloud services, and deployment automation. Hands-on data engineering experience with Apache Spark, lakehouse architectures, data governance, access control, and lineage. Experience integrating AI models into full-stack applications. Previous experience delivering technical workshops, bootcamps, or corporate training programmes. Excellent presentation, communication, live-coding, and technical troubleshooting skills. Ability to independently prepare and deliver complex hands-on technical labs. Must be based in the UAE and available for 3 consecutive on-site training days in Abu Dhabi, plus approximately 3 days of remote preparation. Must have no current or previous engagement with the end client. Nice to have: Experience with NVIDIA AI Enterprise or GPU-accelerated AI workloads. Experience delivering technical training or solutions within public-sector or regulated environments. Knowledge of UAE data protection and compliance requirements.
Work with project team members at the requirements and design phase to develop test strategies, test plans and test cases. Provide expert advice and develop test strategies and plans for all recommended types of testing, ensuring coverage using a requirements traceability matrix.