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Location: Москва В Центре Робототехники Сбера мы занимаемся созданием универсального воплощенного ИИ для роботов, который способен управлять разнообразными физическими воплощениями. Кроме этого, одним из ключевых направлений нашей работы является разработка антропоморфного робота общего назначения, не безызвестного Грина. Обязанности 1.разработка концепции продукта: * \- Формирование идей и предложений по новым продуктам или улучшениям существующих. * \- Организация проведение исследований рынка, анализ потребностей клиентов и конкурентов. * \- Разработка бизнес-кейсов и финансовых моделей для новых продуктов. 2.Управление продуктом: * \- Создание и управление бэклогом продукта. * \- Приоритизация задач и определение сроков их выполнения. * \- Организация и проведение встреч с командой разработчиков, дизайнеров, маркетологов и других участников процесса. 3.анализ и отчетность: * \- сбор и анализ данных о поведении пользователей, продажах и удовлетворенности клиентов * \- подготовка регулярных отчетов о состоянии продукта и его развитии * \- выявление проблем и предложение решений для их устранения. * Требования * степень специалиста, бакалавра, магистра или ученая степень по одной из специальностей: робототехника, мехатроника, системный анализ, менеджмент, бизнес, маркетинг * опыт работы на позиции Product Owner — от 3 лет * знание методологий Scrum, Agile, Kanban * умение работать с аналитическими инструментами и данными * опыт в формировании виденья и стратегии продуктов * опыт в создании сложных аппаратно-программных продуктов для B2B сегмента * опыт в формировании маркетинговой стратегии * знание английского языка B1+. Также плюсом будет: наличие международных профильных сертификатов (CSPO; PSPO; SAFe Product owner / Product Manager и иные) опыт собственного старт-апа портфолио реализованных продуктов. Условия * офисный/гибридный формат в Москве (Автозаводская 23а к2) * ежегодный пересмотр зарплаты и годовая премия * расширенный ДМС и льготное страхование для семьи * уникальная система обучения Сбера для профессионального и карьерного развития * выгодная ипотека для сотрудников * подписка Прайм с возможностью совместного использования на трёх близких * вознаграждение за рекомендацию друзей в команду Сбера * корпоративная пенсионная программа.

— Разрабатывать новый функционал и поддерживать существующий. — Исправлять ошибки и оптимизировать код.

Опыт с ERP (Navision/Ms Dynamics Nav) от 1,5 лет. Опыт подготовки тестовых моделей.

Чем предстоит заниматься: Самостоятельно находить значимые продуктовые проблемы, определять точки роста и формулировать гипотезы. Вести полный цикл продуктовой работы: анализ данных, discovery, формирование и приоритизация гипотез, расчёт экономики, проектирование проверки, запуск, анализ результатов и принятие решения о масштабировании.

- разработка новой функциональности ПО для создаваемых компанией устройств на архитектуре AArch64,. - устранение актуальных проблем ПО.

Рефакторинг и оптимизация существующей кодовой базы. Разработка и интеграция со сторонними API.

О компании ООО «ИНГРАД Проект» — проектная организация полного цикла, с 2012 года создающая архитектурные и инженерные решения для премиальных жилых комплексов бизнес-класса в Москве. Среди заказчиков — MR Group, ФСК, Pioneer, Гранель. Компания — лауреат и дипломант конкурса «Зодчество», обладает статусом BIM-лидера России, BIM-отдел насчитывает 25 специалистов. Задачи: — Самостоятельная разработка frontend с проектированием frontend system design: продумывать структуру компонентов, модель состояния, работу с API и масштабируемость решений до начала разработки. — Полное ведение функциональности от идеи до merge. Требования: — Уверенное владение TypeScript/JavaScript, React, React Router. — Опыт работы с TanStack Query/React Query, React Hook Form. — Знание REST API, HTML/CSS, адаптивной верстки. — Владение Git, понимание SPA, управление client/server state. — Опыт с авторизацией и правами доступа. — Навыки написания unit, integration, e2e тестов. — Понимание производительности frontend-приложений, SSR. Будет плюсом: — Знание MUI, Tailwind CSS, GraphQL/Apollo, Vite/Webpack, Jest/Vitest, React Testing Library, Cypress/Playwright, Storybook, GitHub Actions, Docker, WebSocket/SSE. Условия: — Гибкое начало дня, возможность удалённого или гибридного формата работы. — Компенсация фитнеса. — Возможность работать из «южного офиса» у моря. — Доступ к корпоративным поездкам в Шерегеш и другим мероприятиям команды.

We're looking for talented technical artists who enjoy solving creative problems, building polished gameplay experiences, and working closely with designers, programmers, and artists. • Minimum 2 years of professional experience as a lighting artist (4+ years of experience is preferred).

Ищу человека в коммерческую команду, который поможет усилить исходящую работу. Обеспечить прирост клиентской базы и рост выручки студии за счёт целенаправленного поиска, привлечения и конвертации новых клиентов, а также выстраивания стратегических партнёрских каналов.

Location: Islamabad, Pakistan Workplace: hybrid Our AI Customer Support and Safety team is working on many areas including Computer Vision, NLP, RL etc, bringing business value to our products and improving the lives of our customers. Now we are aiming to strengthen several streams and looking for an experienced middle Machine Learning Engineer , who will help us in our journey. The primary focus for this position will be automation of the driver verification process, for which experience in computer vision is essential. Key Responsibilities Develop, deploy, and maintain machine learning models and systems Conduct in-depth data analysis, preparation, and processing Contribute to the design of ML systems, focusing on data-related aspects like annotation and processing Follow established security guidelines and identify potential risks Collaborate with peers to review and ensure designs are effective, flexible, and reusable Solve issues and provide feedback for engineering design and delivery processes Ensure that features are deployed according to requirements and operate without unintended side effects Create and maintain comprehensive documentation for models and processes Monitor and support deployed solutions to ensure they meet performance expectations Actively seek out information and internal solutions to ensure reusability and adoption of common technologies Our expectations 3+ years of experience in the Field. Previous software engineering experience is preferrable Strong proficiency in Python and its common data processing frameworks (e.g., for streaming, batch, and asynchronous data). Strong foundational knowledge in classical machine learning, deep learning, and advanced mathematics. Familiarity with MLOps principles and experience using MLOps tools for managing the ML model lifecycle. Experience with backend systems and infrastructure, and a willingness to learn new technologies (like Golang) for integration purposes. The ability to design solutions using common design patterns and various design tools. Experience in experiment design and the ability to validate the credibility of information from various sources. A solid understanding of the business value of delivered features. Strong problem-solving skills, with an emphasis on using technical facts and reasoning. Excellent communication and collaboration skills, including active listening and the ability to build consensus. A strong drive for continuous self-development and a collaborative mindset for contributing to communities. Ability to balance quality and speed depending on the case, and justify your decision Ability to explain the background and consequences of your technical decisions to non-technical stakeholders, including product and business managers English communication skills Why join us Help us challenge injustice by creating fair choices for millions of people across 47 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects. Work alongside people who take initiative, speak openly, and challenge themselves to grow. Improve your language skills through co-financed courses and internal speaking clubs. Final benefits may vary depending on the location.

Location: Cairo, Egypt Workplace: hybrid Our AI Customer Support and Safety team is working on many areas including Computer Vision, NLP, RL etc, bringing business value to our products and improving the lives of our customers. Now we are aiming to strengthen several streams and looking for an experienced middle Machine Learning Engineer , who will help us in our journey. The primary focus for this position will be automation of the driver verification process, for which experience in computer vision is essential. Key Responsibilities Develop, deploy, and maintain machine learning models and systems Conduct in-depth data analysis, preparation, and processing Contribute to the design of ML systems, focusing on data-related aspects like annotation and processing Follow established security guidelines and identify potential risks Collaborate with peers to review and ensure designs are effective, flexible, and reusable Solve issues and provide feedback for engineering design and delivery processes Ensure that features are deployed according to requirements and operate without unintended side effects Create and maintain comprehensive documentation for models and processes Monitor and support deployed solutions to ensure they meet performance expectations Actively seek out information and internal solutions to ensure reusability and adoption of common technologies Our expectations 3+ years of experience in the Field. Previous software engineering experience is preferrable Strong proficiency in Python and its common data processing frameworks (e.g., for streaming, batch, and asynchronous data). Strong foundational knowledge in classical machine learning, deep learning, and advanced mathematics. Familiarity with MLOps principles and experience using MLOps tools for managing the ML model lifecycle. Experience with backend systems and infrastructure, and a willingness to learn new technologies (like Golang) for integration purposes. The ability to design solutions using common design patterns and various design tools. Experience in experiment design and the ability to validate the credibility of information from various sources. A solid understanding of the business value of delivered features. Strong problem-solving skills, with an emphasis on using technical facts and reasoning. Excellent communication and collaboration skills, including active listening and the ability to build consensus. A strong drive for continuous self-development and a collaborative mindset for contributing to communities. Ability to balance quality and speed depending on the case, and justify your decision Ability to explain the background and consequences of your technical decisions to non-technical stakeholders, including product and business managers English communication skills Why join us Help us challenge injustice by creating fair choices for millions of people across 47 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects. Work alongside people who take initiative, speak openly, and challenge themselves to grow. Improve your language skills through co-financed courses and internal speaking clubs. Final benefits may vary depending on the location.

Location: Almaty, Kazakhstan Workplace: hybrid Our AI Customer Support and Safety team is working on many areas including Computer Vision, NLP, RL etc, bringing business value to our products and improving the lives of our customers. Now we are aiming to strengthen several streams and looking for an experienced middle Machine Learning Engineer , who will help us in our journey. The primary focus for this position will be automation of the driver verification process, for which experience in computer vision is essential. Key Responsibilities Develop, deploy, and maintain machine learning models and systems Conduct in-depth data analysis, preparation, and processing Contribute to the design of ML systems, focusing on data-related aspects like annotation and processing Follow established security guidelines and identify potential risks Collaborate with peers to review and ensure designs are effective, flexible, and reusable Solve issues and provide feedback for engineering design and delivery processes Ensure that features are deployed according to requirements and operate without unintended side effects Create and maintain comprehensive documentation for models and processes Monitor and support deployed solutions to ensure they meet performance expectations Actively seek out information and internal solutions to ensure reusability and adoption of common technologies Our expectations 3+ years of experience in the Field. Previous software engineering experience is preferrable Strong proficiency in Python and its common data processing frameworks (e.g., for streaming, batch, and asynchronous data). Strong foundational knowledge in classical machine learning, deep learning, and advanced mathematics. Familiarity with MLOps principles and experience using MLOps tools for managing the ML model lifecycle. Experience with backend systems and infrastructure, and a willingness to learn new technologies (like Golang) for integration purposes. The ability to design solutions using common design patterns and various design tools. Experience in experiment design and the ability to validate the credibility of information from various sources. A solid understanding of the business value of delivered features. Strong problem-solving skills, with an emphasis on using technical facts and reasoning. Excellent communication and collaboration skills, including active listening and the ability to build consensus. A strong drive for continuous self-development and a collaborative mindset for contributing to communities. Ability to balance quality and speed depending on the case, and justify your decision Ability to explain the background and consequences of your technical decisions to non-technical stakeholders, including product and business managers English communication skills Why join us Help us challenge injustice by creating fair choices for millions of people across 47 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects. Work alongside people who take initiative, speak openly, and challenge themselves to grow. Improve your language skills through co-financed courses and internal speaking clubs. Final benefits may vary depending on the location.

Location: Yerevan, Armenia Workplace: hybrid About Webb Fontaine Founded in 2002, Webb Fontaine is a global trade technology company headquartered in Dubai, with projects spanning the Middle East, Africa, Asia, South America and beyond. We partner with governments worldwide, providing cutting-edge solutions to boost their revenue by streamlining trade and logistics operations across the entire trade spectrum. At Webb Fontaine, we're crafting a legacy of innovation with a mission to transform the landscape of trade through technology. This wouldn’t be possible without our team of exceptional individuals who are at the core of our success. Build the technology powering international trade. We're looking for a Mid-Level Java Software Engineer to help build a modern, scalable platform supporting mission-critical Customs operations. You'll work on real distributed systems, grow your architectural skills alongside experienced engineers, and use modern AI tools to deliver reliable, maintainable software. Our Tech Stack Java 17+, Spring Boot, Apache Kafka, PostgreSQL, Oracle, Elasticsearch, Amazon S3, Kubernetes, and AI coding assistants. Key responsibilities Build and maintain scalable, reliable backend services using Java, Spring Boot, and event-driven architectures. Apply best practices in software design, testing, code reviews, and CI/CD. Troubleshoot production issues and optimize application performance. Use AI coding assistants and agents to accelerate development, generate tests, refactor code, and debug issues. Review and validate AI-generated code for correctness, security, and maintainability. Collaborate with the team. Travel to our project offices when necessary. Qualifications 3+ years of professional Java development experience, including Spring Boot. Solid knowledge of SQL databases, Kafka, microservices, and event-driven architecture. Understanding of JVM performance, multithreading, and concurrency. Experience with automated testing, CI/CD, and containerized applications. Practical experience with AI coding assistants such as Claude Code or Codex, with the ability to critically evaluate generated code. Strong analytical and problem-solving skills. Fluency in English . Availability and willingness to travel to project offices are mandatory. Nice-to-have qualifications Experience with AWS, GCP, or Azure. Kubernetes, Elasticsearch, or observability tools (Grafana, Prometheus). Experience with Customs, trade, or government systems. Benefits Equal opportunity advocacy: We promote equality, creating a diverse and inclusive environment. Competitive compensation: Enjoy a competitive salary that rewards your contributions. Health and Wellness: We provide comprehensive medical coverage. Global collaboration: Join a world-class team with a global presence and international clients. Investment in you: We invest in your growth and development, valuing our employees as top talent. Work-life balance: We support a healthy work-life balance for your well-being. Training support: We offer a comprehensive learning and development program. We offer benefits tailored to each location, considering the specific regulations and conditions of each country. These will be discussed with candidates during the selection process.

Мы ищем аналитика, которому интересно не просто работать с данными и финансовой оценкой, а создавать новые по...

Location: Worldwide Workplace: remote Requirements— 2+ years of experience in Influence Marketing: practical experience independently searching for, attracting, and managing partners;— iGaming experience is mandatory: good understanding of the product, market specifics, partnership models, and traffic;— Experience with Tier-1 GEOs: the US is the main priority; experience with Canada, Australia, the UK, and other Tier-1 markets will be an advantage;— Experience working with streamers: good understanding of Twitch, Kick, YouTube, and other streaming platforms, integration formats, and principles of audience assessment;— English B2 or higher: strong spoken and written English for independent negotiations with English-speaking streamers, agencies, and partners;— Analytical skills: ability to assess audiences, traffic sources, and placement results, as well as work with analytical tools, spreadsheets, and reporting;— AI tools: experience using AI for creator search and initial assessment, preparing communication, market research, and automation of routine processes.Responsibilities— Search for and attract streamers across Tier-1 markets, primarily the US, building a new network of partners almost from scratch;— Negotiate and establish partnerships: discuss commercial terms, integration formats, budgets, and opportunities for long-term cooperation;— Launch and manage integrations with streamers across Twitch, Kick, YouTube, and other relevant platforms;— Develop additional channels for partner acquisition and presence, including Discord, Reddit, Snapchat, and other relevant communities and platforms;— Analyse potential partners and campaign results, assessing audience quality, traffic, and overall partnership effectiveness;— Maintain reporting and the partner database, keeping commercial terms, campaign results, and key performance indicators up to date for further optimisation.What we offer— High salary (plus performance bonuses and salary revision);— Remote work;— Work schedule: Mon-Fri (9h with 1h lunch break), flexible start 8:00-10:00;— 24-days holiday leave;— Corporate English lessons;— Exciting work challenges that allow you to grow to your full potential;— Strong team of like minded professionals who will be by your side to accomplish ambitious projects, and to stimulate your professional development and bring experience.

• Разработка программного обеспечения согласно требованиям внутреннего заказчика; • Развитие программного обеспечения;

Проектировать и разрабатывать backend для ключевых пользовательских сценариев. Продумывать архитектуру сервисов, API, модели данных и интеграции.

Разрабатывать рекламные концепции с сильной визуальной идеей и понятной логикой. Создавать key visuals, рекламные баннеры и графику для различных digital-форматов.