Задачи:
• Формировать AI-стратегию и roadmap бизнес-направления.
• Находить наиболее перспективные точки применения AI.
• Самостоятельно запускать первые прототипы и AI-пилоты.
• Быстро проверять гипотезы и показывать первые измеримые результаты.
• Создавать AI-агентов, RAG-решения и AI-автоматизации.
• Формировать и приоритизировать портфель AI-инициатив.
• Совместно с FDE и AI-командой доводить успешные пилоты до production и масштабирования.
• Переосмысливать бизнес-процессы с учетом возможностей AI.
• Работать с руководителями бизнес-направлений и защищать AI-инициативы.
• Следить за развитием AI-технологий и применять новые подходы в реальных бизнес-кейсах.
Требования:
• 7+ лет профессионального опыта в технологиях, AI/ML, разработке продуктов или digital transformation.
• Практический опыт запуска AI/ML или технологических продуктов.
• Сильное понимание LLM, Generative AI, AI Agents и RAG.
• Способность самостоятельно собрать работающий AI-прототип.
• Product mindset и ориентация на быстрый результат.
• Стратегическое мышление и способность формировать AI-roadmap.
• Умение связывать технологии с конкретным бизнес-эффектом.
• Опыт работы с руководителями и топ-менеджментом.
• Высокая самостоятельность и ответственность за результат.
AI-инструменты и технические навыки:
• Практический опыт работы с OpenAI, Claude, Gemini, Llama, Qwen или аналогичными LLM.
• Работа с LLM API, Prompt Engineering, Tool/Function Calling.
• Создание AI-агентов с использованием LangChain, LangGraph, LlamaIndex или аналогов.
• Практическое понимание RAG, embeddings, vector databases.
• Использование AI coding-инструментов: Codex, Cursor, Claude Code или аналогов.
• Python, REST API, SQL — на уровне, достаточном для самостоятельного создания прототипов.
• Опыт работы с n8n, Make или другими инструментами автоматизации.
• Понимание принципов работы и ограничений LLM, стоимости моделей и вопросов безопасности корпоративных данных.
Кого мы ищем:
• Не классического бизнес-аналитика или координатора.
• Нужен человек, который способен: понять бизнес → увидеть возможность применения AI → самостоятельно собрать первый пилот → показать результат → сформировать roadmap → масштабировать решение вместе с командой.
Главный результат:
• Быстрые первые победы и последующая системная AI-трансформация бизнес-направления.
Muse Group разрабатывает международные продукты для музыкантов с 400+ млн. пользователей, включая Ultimate Guitar, MuseScore, Audacity и другие. Вакансия предполагает опыт создания инструментов на базе AI/LLM, опыт работы в роли platform engineer, DevEx lead, AI/ML infra engineer. Возможна удалённая работа или работа с Кипра. Фаундер компании — Евгений Найденов. Размер компании — 250-500 человек.
АО «Казахтелеком» приглашает на позицию Senior AI Officer специалиста, способного самостоятельно запускать AI-пилоты, демонстрировать их бизнес-эффективность и разрабатывать AI-стратегию для направления. В обязанности входит формирование AI-стратегии и дорожной карты, выявление и запуск AI-кейсов, создание AI-агентов, RAG и автоматизаций, а также доведение успешных пилотов до промышленного внедрения. Важна работа с руководителями для обеспечения связи AI-инициатив с бизнес-результатами. Кандидат должен иметь более 7 лет опыта в технологиях, AI/ML, продуктовой разработке или цифровой трансформации, практические навыки создания AI-решений, уверенное понимание LLM, AI Agents, RAG, владение Python, API, SQL, опыт работы с LangGraph/LangChain, n8n/Make, а также навыки vibe coding с инструментами типа Codex, Cursor, Claude Code. Требуются самостоятельность, продуктовый подход и стратегическое мышление. Формат работы — офис, зарплата в диапазоне 1–2 млн тенге NET.
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Чему вы научитесь:
• Исследование угроз GenAI: создание, поддержка и развитие инструментов для анализа и поиска угроз;
• DevOps: CI/CD, контроль версий (git), тестирование качества, инфраструктура для работы (linux);
• Внедрение практик AI PDLC: исследование и применение методов и инструментов создания и развития программного обеспечения с применением передовых ИИ-моделей;
• Погружение в экосистему: изучение и практическое применение передовых фреймворков и библиотек для работы с LLM и AI-агентами;
• Управление командой: формирование и развитие исследовательской команды (3–5 человек), приоритизация исследований, защита решений перед руководством и смежными командами;
• CTF и хакатоны: формирование и капитанство команды на международных CTF по AI/ML security, трансляция найденных техник в работу направления;
• Публикации и нормативные документы: оформление результатов исследований, вклад в нормативные документы безопасности AI.
Требования:
• Профиль и образование: законченное высшее образование в области информационных технологий, компьютерных наук, прикладной математики, программной инженерии или смежных направлений
• Продвинутые навыки программирования: понимание принципов проектирования и разработки программного обеспечения, опыт в написании и чтении программного кода (понятный, поддерживаемый)
• Навыки DevOps: работа с git, администрирование linux, автоматизация этапов жизненного цикла разработки ПО
• LLM и AI-агенты: экспертный уровень применения LLM для разработки ПО, глубокое понимание архитектуры агентов и их векторов атак
• Английский язык на уровне не менее чтения технической документации, статей и участия в международных CTF
• Опыт командной работы в проектах разработки: канбан (спринты, трекинг задач), jira/git/confluence, презентации и умение понятно объяснять свои идеи команде/руководству и согласовывать требования
• Adversarial ML и red teaming LLM: практический опыт поиска уязвимостей в GenAI-моделях (prompt injection, jailbreaking, tool poisoning, data extraction)
• Знание инструментария для LLM security: Giskard, Garak, LLM Guard и др.
• CTF и хакатоны: участие в международных CTF по AI/ML security (желательно — победы или призовые места).
Продукты:
— Atomic Agent — open-source local-first AI-агент, работающий на устройстве пользователя.
— AI/ML API — платформа с 400K+ пользователей для доступа к AI-моделям через единый API.
— Atomic Bot — простой запуск OpenClaw в один клик.
Задачи:
— писать контент на английском: посты, треды, статьи, туториалы и кейсы;
— развивать X, Reddit, GitHub, Discord и другие AI-комьюнити;
— запускать коллаборации с AI-компаниями, KOLs и разработчиками;
— работать с email, SEO и органическим ростом;
— тестировать маркетинговые гипотезы и анализировать результат в GA4, PostHog и других инструментах;
— создавать короткие видео и простую графику.
Требования:
— от 1 года опыта в digital, community или content marketing;
— английский B2+;
— понимание культуры X, Reddit, Discord;
— сильные навыки письменной коммуникации;
— базовое понимание аналитики и UTM;
— самостоятельность, инициативность и интерес к AI/Tech.
Будет плюсом:
— опыт с AI, SaaS, developer tools или open-source;
— понимание AI/LLM, developers, self-hosted и локальных моделей;
— SEO, GA4, Google Ads;
— опыт работы с технической аудиторией, KOLs и международными партнёрами;
— техническое или математическое образование.
Условия:
— международные AI-продукты и глобальную аудиторию;
— прямое взаимодействие с CMO и продуктовой командой;
— возможность быстро вырасти в Marketing Manager;
— обучение за счёт компании;
— 28 дней отпуска + 100% больничных;
— гибкое начало рабочего дня;
— выплаты в рублях, валюте или USDT.
Локация: Москва / Санкт-Петербург, офис. Удалённый формат не рассматриваем.
Требуемый уровень английского: B2+.
Duties and Responsibilities:
— Define and drive the product vision for a multi-instance, scalable foundation that supports SaaS and on-premise deployments
— Collaborate with application product teams to consolidate fragmented components and requirements into unified platform services
— Stay up-to-date with industry developments and technologies to inform Platform strategy
— Communicate Platform insights and recommendations to stakeholders and the leadership team
— Act as a point of contact for cross-functional teams and stakeholders
— Analyse performance data to identify areas for improvement and optimisation
— Collaborate with the development team to identify and prioritise new features and capabilities
— Drive a roadmap with dependencies across the wider organisation, balancing technical constraints with business needs
Qualifications and experience:
— 5+ years of experience working as a program or product manager for a platform, SaaS infrastructure, or API products
— Computer Science or similar degree
— A strong technical background.
— Excellent analytical and problem-solving skills
— Strong communication and collaboration skills
— Experience leading teams and working with cross-functional stakeholders
Nice to Have:
— Experience with developer platforms or platform-as-a-service products
— Experience managing AI/ML infrastructure or platforms
What We Offer:
— Choice of work equipment (e.g., laptop, monitor, etc.)
— English classes (iTalki – $130 monthly)
— Flexible schedule (usually work between 09:00/10:00 and 18:00/19:00)
— Newborn bonus (€500 per child)
— Patent remuneration
— Paid leave
— Remote work in locations without our offices
— Hybrid work in locations with offices (2 days in-office, 3 days remote)
Constructor fosters equal opportunity for people of all backgrounds and identities.
Задачи:
— Формулировка целей, KPI, оценка реализуемости, подбор команды и согласование ресурсов, бюджета и сроков.
— Полный цикл управления проектом: составление планов, постановка задач команде, контроль сроков, бюджета и качества исполнения.
— Организация четкого взаимодействия между заказчиками, стейкхолдерами и командой. Регулярная отчетность и координация работ.
— Проактивное выявление и минимизация угроз для бюджета, сроков и репутации. Решение оперативных проблем.
— Анализ и улучшение рабочих методик, внедрение инструментов для повышения скорости и предсказуемости разработки.
Требования:
— Опыт управления IT-проектами, связанными с разработкой, внедрением или интеграцией решений в области искусственного интеллекта / машинного обучения (AI/ML) от 3 лет.
— Понимание специфики и жизненного цикла ML-проектов (сбор данных, разметка, обучение моделей, валидация, эксплуатация).
— Опыт взаимодействия с техническими ML - командами.
— Базовое техническое понимание ML-стека (Python, основные фреймворки, облачные AI-сервисы).
— Практический навык управления бюджетом, сроками, ресурсами и рисками проекта.
— Отличные коммуникативные и презентационные навыки, умение работать с техническими командами и бизнес-стейкхолдерами.
Условия:
— Гибрид (Москва). Важно: наличие возможности приезжать в офис/к клиентам в Москве для ключевых встреч.
— ДМС после успешного прохождения испытательного срока.
— Официальное трудоустройство, конкурентную «белую» зарплату.
— Возможность работать над сложными и интересными бизнес - проектами в сфере AI.
— Команду экспертов, с которыми можно обсудить идеи и расти вместе.
Proxet is a company that provides product and platform engineering, data engineering, AI/ML, and cloud transformation services.
Languages required: English (fluent), Polish (fluent).
Work format: Remote (Poland).
О позиции
Разработка дашбордов и аналитики на Apache Superset с элементами AI для поддержки экспертизы лекарственных средств и медицинских изделий.
Обязанности
• Разработка и поддержка интерактивных дашбордов в Apache Superset
• Написание и оптимизация сложных SQL-запросов, создание витрин данных
• Кастомизация дашбордов (Jinja, CSS, Python)
• Внедрение AI/ML-решений для аналитики и прогнозирования
• Взаимодействие с заказчиками, сбор требований, презентация результатов
Требования
• Высшее техническое / ИТ-образование
• Опыт BI-разработчика от 2 лет
• Опыт работы с Apache Superset от 1 года
• Продвинутый SQL
• Опыт работы с PostgreSQL / ClickHouse / MS SQL
• Знание Python (Pandas, SQLAlchemy)
• Понимание DWH и моделирования данных
Будет плюсом: опыт AI/ML в аналитике, Power BI/Tableau, Airflow, работа в фарме или госсекторе.
Условия
• Зарплата от 500 000 тенге
• Работа в офисе в Астане
• Социальный пакет по ТК РК
• Участие в проектах цифровизации государственной экспертизы
Constructor is an AI-first search and product discovery platform built for enterprise ecommerce, helping leading retailers deliver personalized digital shopping experiences that drive revenue, conversion and profit. Our technology delivers consistent $10M+ lifts for brands including Sephora, Petco, Under Armour and Birkenstock. We are looking for a Director of Product Marketing to help tell that story. This is a highly hands-on role for someone exceptional at product positioning, messaging and storytelling. You'll define what makes Constructor genuinely different and translate that into a compelling narrative that resonates with prospects, customers and the market. Our platform is powerful, technically sophisticated and constantly evolving. We need someone who can bring clarity to that complexity, identify the real value and differentiation of our products, and create positioning that makes customers think: "This is clearly better—and we need it." This position is equal parts strategist and builder - setting direction, developing people, and rolling up your sleeves to build the many artifacts that form a robust product marketing org. You will work closely with our product leaders to launch new products, add-ons and features, with our content marketing team to create thought leadership, with growth marketing to drive pipeline and product content and with sales to ensure the GTM functions are enabled on key launches and competitors. Any feature or product launch, with the product team, will include a bill of materials focused on value proposition, personas, objection handling, competition and more.
Задачи:
— Own and evolve differentiated positioning for Constructor's platform, products and key capabilities.
— Develop a deep understanding of what makes our technology unique and valuable to customers.
— Translate complex technical capabilities into clear, compelling customer value propositions.
— Create messaging that clearly communicates why Constructor, why now and why we're different.
— Build messaging frameworks and narratives that align Marketing, Sales and Customer Success.
— Ensure our positioning is grounded in genuine product strengths and customer needs, not simply what competitors are saying.
— Create compelling product narratives, value propositions and messaging that bring products and capabilities to life.
— Develop sales enablement and customer-facing materials that support launches, adoption and expansion.
— Partner with Sales to understand customer needs, objections and deal dynamics, continuously improving positioning and enablement.
— Lead and orchestrate product launches from strategy through execution that are crisp, focused, and actually land with customers.
— Partner with Product on roadmap communication and prioritization.
— Identify gaps in capabilities and proactively build the function to address them.
— Build a deep understanding of our customers, prospects, buyers and their challenges.
— Understand the ecommerce, search and product discovery landscape and where Constructor creates differentiated value.
— Engage with customers and prospects to understand what resonates and why they choose Constructor.
— Monitor the market and competitive landscapes.
— Identify opportunities to improve how we communicate product value throughout the customer lifecycle and the deep understanding of buyer personas and ICP.
Требования:
— 8-10 years experience in B2B SaaS product marketing, ideally within a technical or complex product environment.
— Proven track record developing genuinely differentiated positioning and messaging.
— Ability to take complex technology and turn it into a simple, compelling story that customers understand and value.
— Experience bringing products or capabilities to market and creating GTM materials that support adoption and growth.
— Strong experience partnering with Product and Sales to develop positioning that works both externally and commercially.
— Experience in ecommerce, retail technology, search, discovery is a plus.
— Strong storyteller who can communicate complex technical concepts in a simple, clear and persuasive way.
— Technically curious, with a good understanding of how products work and what makes technology better, as well as a familiarity with AI/ML fundamentals.
— Commercially minded, with an understanding of how strong positioning can drive pipeline, revenue, adoption and expansion.
— Excellent communicator with strong written and verbal communication skills and the ability to create and present compelling ideas.
— Both strategic and hands-on, comfortable setting direction while also getting into the detail needed to make things happen.
— Creative and curious, willing to challenge conventional thinking and explore new ways to differentiate.
— Analytical mindset and can use market research and performance data to support strategic decisions, with experience in ROI analysis and experimentation.
— Excellent project management skills and strong attention to detail, with the ability to manage complex initiatives from concept through to execution.
— Growth mindset, bringing creativity, ambition and a proactive approach to problem-solving and innovation.
Условия:
— Unlimited vacation time with encouragement to take at least 3 weeks per year.
— Competitive compensation package including stock options.
— Fully remote team allowing choice of living location.
— Work from home stipend.
— Apple laptops provided for new employees.
— Training and development budget refreshed annually.
— Maternity & Paternity leave for qualified employees.
— Work with smart people who will help you grow and make a meaningful impact.
Diversity, Equity, and Inclusion at Constructor:
Constructor is committed to cultivating a diverse, equitable, and inclusive work environment. As an equal opportunity employer, it welcomes individuals of all backgrounds and provides equal opportunities regardless of education, diversity of opinion, race, color, religion, gender, gender expression, sexual orientation, national origin, genetics, disability, age, veteran status or affiliation in any other protected group.
Garner Health is a healthcare technology startup focused on reducing employee health insurance costs for large companies by transforming the U.S. healthcare system using proprietary clinical metrics and AI.
About the role:
We are seeking a Senior Site Reliability Engineer to own the reliability, performance, and resilience of the cloud infrastructure powering Garner’s products and AI/ML workloads. This role is part of the Platform Engineering team and involves defining and upholding SLOs, leading incident response, and driving automation and standards to enable faster and more reliable shipping by engineers. The role emphasizes automation-first approaches using AI tools to convert manual operational work into monitored, hands-free processes.
Responsibilities:
— Own end-to-end reliability, performance, and resilience of cloud environments (AWS, Kubernetes), including AI/ML workloads
— Define, measure, and uphold SLOs across critical services
— Lead incident response, participate in on-call rotation, conduct root cause analysis, and review infrastructure changes
— Build and maintain monitoring, alerting, and observability systems
— Translate scaling requirements into automated infrastructure-as-code deliverables using Terraform
— Identify and implement cost-efficiency and performance improvements across the stack
— Reduce operational toil and tech debt through AI-driven automation
— Build and maintain deployment and observability standards to empower engineering teams
— Ensure infrastructure and operations comply with security and HIPAA requirements
Requirements:
— 4+ years of hands-on experience operating production cloud infrastructure at scale in SRE, DevOps, or platform engineering roles
— Deep expertise with Kubernetes and Terraform in cloud-first environments (AWS preferred)
— Strong experience with production observability: defining SLOs, monitoring, alerting, incident response, and blameless post-incident reviews
— Strong software engineering skills in Python or Go applied to infrastructure automation; experience with Kubernetes APIs is a plus
— Experience optimizing cloud cost and performance across compute, storage, and networking
— Experience supporting AI/ML or data-intensive workloads in production is a plus
— Experience in security-conscious or regulated environments (HIPAA, SOC 2) is a plus
— Familiarity or strong motivation to use AI tools (e.g., Claude) for engineering and operations workflows
— Commitment to high performance, accountability, and authentic feedback
Technologies used:
AWS, Kubernetes, Terraform, Istio, Python, Go, TypeScript, Postgres, NATS, Datadog, GitLab
Additional information:
— Remote position with occasional travel to NYC headquarters
— No visa sponsorship available
— Compensation range: $191,000 - $226,000 per year plus equity and benefits including flexible PTO, medical/dental/vision plans, 401(k) with company match, flexible spending accounts, and Teladoc Health
— Equal Employment Opportunity employer committed to diversity and accommodations for disabilities
Задачи:
— Design and build AI/ML-powered features and systems
— Work with LLMs, APIs, and model integrations
— Develop and optimize AI pipelines for real-world use cases
— Collaborate with product and engineering teams
— Turn complex AI ideas into scalable production features
Требования:
— Strong experience with Python and AI/ML frameworks
— Hands-on experience with LLMs (OpenAI, LangChain, etc.)
— Understanding of model integration, prompting, or fine-tuning
— Experience with APIs and backend systems
— Strong problem-solving mindset and startup experience
About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
About the role Nebius is building cloud infrastructure and AI platforms used at scale. We are looking for a Senior Product Designer to join the Nebius Console team and lead the design of Compute experiences: complex, high-impact workflows used by technical teams to create, configure, monitor, and manage cloud resources. This role is for a designer who enjoys working with complex systems, understands the value of clear interaction models, and can turn technical depth into intuitive, reliable product experiences.
What you'll do
Own end-to-end design for Compute features in Nebius Console, from discovery and problem framing to delivery, launch, and iteration.
Design clear, scalable workflows for complex cloud infrastructure scenarios, including resource creation, configuration, management, monitoring, and troubleshooting.
Translate business goals, technical constraints, and user needs into coherent user journeys, information architecture, and interaction models.
Partner closely with Product Managers, Engineers, Designers, UX Researchers, and other stakeholders throughout the product lifecycle.
Explore and validate design hypotheses through user insights, prototypes, product data, and feedback from internal and external users.
Clearly present design solutions, trade-offs, and rationale to cross-functional teams.
Work closely with engineers during implementation to ensure high-quality execution and consistency.
Contribute to the development and maintenance of the design system, improving consistency, usability, and quality across Nebius Console.
Collaborate within a strong design team through reviews, critiques, shared patterns, and design system contributions.
Required qualifications
6+ years of experience as a Product Designer working on digital products.
Strong product thinking and the ability to approach design through connected user scenarios, product goals, and system constraints.
Experience designing complex B2B, SaaS, developer tools, infrastructure, or admin products.
Ability to balance usability, consistency, technical feasibility, and innovation in complex systems.
Strong systems thinking, attention to detail, and ability to work in a structured, systematic way.
Strong proficiency in Figma, including complex flows, components, variants, and interactive prototypes.
Ability to communicate design decisions clearly and constructively with both product and engineering teams.
Nice to have
Experience designing cloud consoles, infrastructure platforms, developer tools, or other technically complex products.
Familiarity with cloud concepts such as virtual machines, compute resources, networking, storage, quotas, permissions, or monitoring.
Experience with UX research, usability testing, customer interviews, or feedback analysis.
Ability to communicate effectively with engineers using basic HTML, CSS, and JavaScript terminology.
Experience working with design systems at scale.
What we offer
Competitive salary and a comprehensive benefits package.
A clear and meaningful area of ownership within one of the core parts of the cloud platform.
Opportunities for professional growth as the product, design team, and platform scale.
Flexible work arrangements, with hybrid and remote options depending on location
A collaborative, product-focused environment with close design–engineering partnership.
A strong design team with space for thoughtful critique, shared standards, and high-quality product work.
Perks and culture
Benefits & Perks: Competitive compensation
Career growth and learning opportunities
Flexibility and ownership
Collaborative and innovative culture
Opportunity to work on impactful AI projects
International environment and talented teams
If you enjoy designing complex products, working closely with engineers, and turning technical infrastructure into clear and reliable user experiences, we would be glad to hear from you!
Who we are
At OneSoil, we’re building tools that empower farmers and agribusinesses worldwide. Our mobile and web apps help monitor fields, optimize inputs, and increase yields using satellite imagery and proprietary AI models. OneSoil is headquartered in Zurich, with offices in Poland, Ukraine, and Cyprus. Our technology is used across 4% of the world’s cropland. This year, we became the first company to launch an AI Agronomist globally.
What You’ll Do
Lead and grow a product-focused backend team.
Hire, mentor, and develop engineers to reach their full potential.
Shape the technical vision and architecture of our backend systems, ensuring scalability, security, and high availability.
Drive the delivery of backend features in collaboration with product managers, designers, and AI/ML engineers.
Foster a culture of technical excellence and ownership within the team.
Build products that leverage modern AI models to deliver value to farmers worldwide.
Improve development processes and team workflows to ensure consistent and timely delivery.
Act as a hands-on technical leader: design and review solutions, unblock the team, and contribute to critical code when needed.
You’re a Great Fit If You Have
5+ years of backend development experience, with strong Python expertise.
Experience leading and scaling a product engineering team.
Strong expertise in Python 3.12+, Django 4+, Django REST Framework, Celery, pytest, Redis, PostgreSQL, Docker, RabbitMQ, and AWS.
Familiarity with FastAPI and Kubernetes.
Bonus points for experience with PostGIS, Helm, or ArgoCD.
A track record of building and shipping scalable SaaS products.
A solid understanding of Agile methodologies and the ability to align engineering with product goals.
A passion for mentoring engineers and building healthy, high-performing teams.
Curiosity and excitement about AI/ML-driven products.
Proficiency in Ukrainian is a plus.
What We Offer
A distributed international team with the flexibility to work from anywhere.
A product that is changing how agriculture works and creating value for farmers worldwide.
A key role in defining our technical and team strategy as we scale.
Удалённоlead
Зарплата не указана
Удалённо
Зарплата не указана
Удалённоsenior
191 000 – 226 000 $
Удалённоsenior
Зарплата не указана
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