Вакансии

Location: Jakarta; Surabaya; Bandung; Medan; Tangerang; Bekasi; Depok; Semarang; Palembang; Pontianak; Pekanbaru; Malang; Bogor; Makassar; Yogyakarta Workplace: remote We are looking for AIVoice Recording Contributors to join a Simplified Chinese voice evaluation project and help support the development of the next generation of AI technologies.    Job Type: Freelance Location: Work from home Work Schedule:Flexible, task-based work (approximately 4–6 hours per day) Project Duration: Approximately 1 month Start Date: Immediately Rate: 5 USD/hour     Help Shape the Future of AI This short project offers an opportunity to contribute to the development and improvement of speech and language AI technologies by providing high-quality voice recordings in your native language and dialect. You will complete recording tasks using our internal platform by reading provided text prompts aloud. The goal is to capture natural speech from native speakers of specific language variants to help improve AI systems' ability to understand diverse languages, dialects, and accents.     How Your Recordings Will Be Used Your recordings will be used to evaluate how agents respond to spoken instructions and to compare that evaluation with an evaluation of text-based instructions. The collected audio may be reviewed for quality and incorporated into datasets used for research, development, testing, and improvement of AI systems. What You’ll Do Read provided text cards aloud and record them exactly as written (there approximately 640 cards per person). Produce clear, natural, and high-quality speech recordings following the guidelines and instructions provided. Speak using your natural dialect and accent. Ensure no words are added, omitted, or altered. Re-record submissions if requested to meet quality standards. Complete tasks using our internal recording platform. What We’re Looking For Native-level fluency in Simplified Chinese. Authentic pronunciation and strong familiarity with the target dialect or accent through everyday use. Advanced level of English to understand written instructions. Ability to complete a trial voice recording to verify language variant and accent. Contributors must not imitate dialects or accents that are not their own. Experience with speech recording projects is an advantage, but not required. Strong communication skills and attention to detail. Ability to follow detailed instructions and maintain recording accuracy. Technical Requirements Quiet room or recording space with minimal background noise. Computer microphone or headset with microphone. Reliable internet connection. Ability to access and use an online recording platform. What We Offer Flexible, remote work. Timely and reliable payments. Opportunity to contribute to cutting-edge AI technology. Access to future language and AI-related projects. A flexible engagement ideal for gaining experience with AI data collection projects. #LI-CAN17 Vendor Type When applying, please select the option that best describes your working status. Are you a Freelancer or Private Individual? A Freelancer is someone who has a business license and may have a VAT number or EIN for tax purposes. A VAT (Value Added Tax) number is a unique identifier assigned to a registered business in many countries; an EIN (Employer Identification Number) is a similar identifier used in the US. A Private Individual does not have a business license. If you aren’t sure, you are probably a private individual. RWS embraces DEI and promotes equal opportunity, we are an Equal Opportunity Employer and prohibit discrimination and harassment of any kind. RWS is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. All employment decisions at RWS are based on business needs, job requirements and individual qualifications, without regard to race, religion, nationality, ethnicity, sex, age, disability, or sexual orientation. RWS will not tolerate discrimination based on any of these characteristics.

Location: Москва Модели распознавания речи чаще всего обучают на максимизацию правдоподобия идеальной транскрипции, а оценивают по количеству ошибок в распознанном тексте. Вы будете учить модель напрямую на недифференцируемую награду — сначала на Word Error Rate (WER), потом на точность редких слов из пользовательского словаря. Имена, термины и англицизмы — главный сорт ошибок в диктовке и голосовом ассистенте, а общий WER на них почти не реагирует. Пользовательский словарь — третий по частоте запрос пользователей наших открытых моделей Обязанности * Реализовывать on-policy обучение ASR-моделей с WER-подобной наградой * Добавлять контекстный биасинг: список слов в условие модели и награду * Сводить рецепт и переносить на продовый чекпоинт: сколько шагов, какая смесь, с какого момента деградирует общий WER Требования Уверенное владение python и pytorch Знакомство с распределенным обучением Знакомство с policy-gradient методами по статьям **Будет плюсом** * Опыт с verl, trl или любым другим RLHF-фреймворком * Опыт с vLLM или sglang * Любая практика с распознаванием речи, даже учебная

Location: Montreal; Quebec City; Laval; Gatineau; Longueuil; Sherbrooke; Trois-Rivières; Saguenay; Lévis; Terrebonne; Repentigny; Drummondville; St-Jérôme; Granby; Edmonton Workplace: remote We are looking for AIVoice Recording Contributors to join a French (Canada) voice evaluation project and help support the development of the next generation of AI technologies.    Job Type: Freelance Location: Work from home Work Schedule:Flexible, task-based work (approximately 4–6 hours per day) Project Duration: Approximately 1 month Start Date: Immediately Rate: 16 USD/hour     Help Shape the Future of AI This short project offers an opportunity to contribute to the development and improvement of speech and language AI technologies by providing high-quality voice recordings in your native language and dialect. You will complete recording tasks using our internal platform by reading provided text prompts aloud. The goal is to capture natural speech from native speakers of specific language variants to help improve AI systems' ability to understand diverse languages, dialects, and accents.     How Your Recordings Will Be Used Your recordings will be used to evaluate how agents respond to spoken instructions and to compare that evaluation with an evaluation of text-based instructions. The collected audio may be reviewed for quality and incorporated into datasets used for research, development, testing, and improvement of AI systems. What You’ll Do Read provided text cards aloud and record them exactly as written (there approximately 640 cards per person). Produce clear, natural, and high-quality speech recordings following the guidelines and instructions provided. Speak using your natural dialect and accent. Ensure no words are added, omitted, or altered. Re-record submissions if requested to meet quality standards. Complete tasks using our internal recording platform. What We’re Looking For Native-level fluency in French (Canada). Authentic pronunciation and strong familiarity with the target dialect or accent through everyday use. Advanced level of English to understand written instructions. Ability to complete a trial voice recording to verify language variant and accent. Contributors must not imitate dialects or accents that are not their own. Experience with speech recording projects is an advantage, but not required. Strong communication skills and attention to detail. Ability to follow detailed instructions and maintain recording accuracy. Technical Requirements Quiet room or recording space with minimal background noise. Computer microphone or headset with microphone. Reliable internet connection. Ability to access and use an online recording platform. What We Offer Flexible, remote work. Timely and reliable payments. Opportunity to contribute to cutting-edge AI technology. Access to future language and AI-related projects. A flexible engagement ideal for gaining experience with AI data collection projects. #LI-CAN17 Vendor Type When applying, please select the option that best describes your working status. Are you a Freelancer or Private Individual? A Freelancer is someone who has a business license and may have a VAT number or EIN for tax purposes. A VAT (Value Added Tax) number is a unique identifier assigned to a registered business in many countries; an EIN (Employer Identification Number) is a similar identifier used in the US. A Private Individual does not have a business license. If you aren’t sure, you are probably a private individual. RWS embraces DEI and promotes equal opportunity, we are an Equal Opportunity Employer and prohibit discrimination and harassment of any kind. RWS is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. All employment decisions at RWS are based on business needs, job requirements and individual qualifications, without regard to race, religion, nationality, ethnicity, sex, age, disability, or sexual orientation. RWS will not tolerate discrimination based on any of these characteristics.

Location: Москва Наша команда создает линейку продуктов на основе мультимодальной нейросетевой модели GigaChat, которая является одной из самых мощных и продвинутых моделей искусственного интеллекта, доступных на сегодняшний день. Мы создаем удобный и понятный сервис, позволяющий людям использовать GigaChat для решения повседневных задач и развлечения: поиск ответов на вопросы, работа с документами, создание контента, изучение языков, общение с персонажами и многое другое. Мы ищем опытного Senior-инженера SRE, который возглавит развитие front-инфраструктуры. Вы будете отвечать не только за техническую реализацию, но и за менторство команды, архитектурные решения и стратегическое развитие надежности сервиса. Ваша ключевая задача — построение и развитие системы Observability для высоконагруженной micro-frontend архитектуры, обеспечение ее отказоустойчивости, масштабируемости и безопасности. Вы будете напрямую влиять на SLA/SLI/SLO сервиса и качество продукта, которым пользуются миллионы. Обязанности * проектирование, внедрение и поддержка отказоустойчивой front-инфраструктуры **giga.chat**. * построение сквозной системы мониторинга, логирования и трейсинга (Observability) для micro-frontend систем. * организация процесса управления инцидентами (Incident Management), поиски (Root Cause), внедрение превентивных мер. * развитие инфраструктуры как кода (Infrastructure as Code), автоматизация процессов развертывания, масштабирования и управления конфигурациями. * наставничество Middle-инженеров, code-review инфраструктурного кода, развитие инженерных практик в команде. Требования * **Уровень:** Senior (от 5 лет опыта в SRE/DevOps), наличие подтвержденного опыта на позиции Team Lead или готовность к руководящей роли. * **Архитектура и сети:** * Глубокое понимание принципов построения высоконагруженных и отказоустойчивых систем. * Экспертное знание сетевого стека (модель OSI, TCP/IP, BGP, DNS). Опыт диагностики сложных сетевых проблем в production-среде. * Экспертный уровень владения балансировщиками: NGiNX (включая Lua/NJS для сложной логики), HAProxy, Traefik. Опыт их тюнинга под экстремальные нагрузки. * **Observability:** * Успешный опыт построения комплексных систем Observability "с нуля" для микросервисных и micro-frontend архитектур. * Экспертиза в стеке Prometheus + Grafana: написание сложных PromQL-запросов, проектирование дашбордов и алертов. * Глубокое знание систем логирования (ELK Stack) и распределенной трассировки (Jaeger, Zipkin). Умение коррелировать метрики, логи и трейсы для быстрого поиска аномалий. * **Безопасность:** * Глубокие знания в области информационной безопасности. Опыт внедрения Zero Trust архитектуры, настройки WAF, защиты от DDoS-атак на уровне L7, управления секретами (Vault). * **Инфраструктура:** * Экспертный уровень администрирования Linux. * Экспертиза в Kubernetes: управление кластерами в production, написание Helm-чартов, диагностика проблем на уровне Control Plane и Data Plane. * Уверенное владение IaC-инструментами (Terraform, Ansible) на уровне написания модулей и ролей. Будет плюсом: * Опыт работы с облачными провайдерами (Sber Cloud, Yandex Cloud, AWS) на уровне построения гибридных инфраструктур. * Опыт работы с Service Mesh (Istio) * Опыт работы с базами данных (PostgreSQL, Elasticsearch, ClickHouse, Mongo) * Опыт работы с системами очередей и кеш-серверами (Kafka, Ignite, Redis) Условия * стабильный оклад и премии по результатам работы, ежегодный пересмотр зарплаты * комфортный современный офис рядом с м.Кутузовская * гибридный формат работы: встречаемся очно в офисе 1 раз в неделю * корпоративный спортзал и зоны отдыха * уникальная система обучения Сбера для профессионального и карьерного развития * программа адаптации и помощь руководителя на старте * расширенный ДМС и льготное страхование семьи * гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ * бесплатная подписка СберПрайм, скидки на продукты компаний-партнеров * вознаграждение за рекомендацию друзей в команду Сбера * корпоративная пенсионная программа

Zадачи: — Работа с Active Directory Требования: — Опыт работы от 1 до 3 лет — Навыки тестирования безопасности Условия: — Офисный формат работы — Местоположение: Ташкент

Location: Gurugram, Haryana, India NEOLYTIX Associate – Automation (Fresher) Intelligent Automation · Entry-Level · Start Your Career in AI & Automation EXPERIENCE Fresher (0–1 Yr) QUALIFICATION B.Tech / BCA / MCA LOCATION Gurugram (Onsite, 5-Day) SHIFT 1:30–10:30 PM (Flexible) About the Role Neolytix is a US-headquartered healthcare technology and services company with delivery centres in Chicago, Gurugram, and Manila, supporting 270+ provider organizations. As we move from a services company to a technology-enabled one, our Intelligent Automation team is building AI-powered automations that make healthcare operations faster and more accurate — and we’re hiring recent B.Tech / BCA / MCA graduates as Associate – Automation to grow that team. This is an entry-level role built for someone ready to learn and build. You’ll be trained to design, build, and test automations — using visual (no-code / low-code) workflow tools, AI models, and light scripting — for real business and revenue-cycle processes, under the guidance of senior automation engineers. No prior work experience is required. We’re looking for solid programming fundamentals, a logical, pattern-spotting mind, and genuine curiosity about AI and automation. What You’ll Do Learn to design, build, and test automations using visual workflow / RPA tools and AI models, under senior guidance. Support the Intelligent Automation team in building and testing automations for business and RCM workflows. Write and maintain simple scripts (Python) for data handling, integrations, and automation tasks. Help map manual processes step by step and identify where automation can save time or reduce errors. Document workflows, test cases, and process steps clearly. Monitor running automations, log exceptions, and flag issues to senior team members. Use AI tools (e.g., ChatGPT, Claude, Copilot) to prototype, draft, and test solutions faster. What You’ll Learn With structured training and mentorship, you’ll build genuine, in-demand skills in: Visual workflow automation and RPA (no-code and low-code platforms). Applied AI — prompt design and using AI models for real business use cases. Python scripting for automation, data handling, and integrations. Process analysis — how to break a manual workflow into automatable steps. How US healthcare revenue-cycle operations work, as the processes you’ll help automate. What You Bring Must-Have B.Tech, BCA, or MCA (recent graduate) with a genuine interest in automation and AI. Solid programming fundamentals — comfortable with at least one language (Python preferred); understands logic, loops, functions, and basic data structures. A logical, analytical, pattern-spotting mind — you can look at a process and see where the repetition is. Comfortable working with data in Excel / spreadsheets. Good spoken and written English for documentation and teamwork. A fast learner who takes ownership and sweats the details. Preferred (a bonus, not required) Academic or personal projects in Python, scripting, automation, or AI (a GitHub or portfolio helps). Exposure to any automation / RPA or workflow tool (UiPath, Power Automate, n8n, Zapier, or similar). Basic SQL; hands-on use of AI tools (ChatGPT / Claude / Copilot); interest in healthcare or US business processes. Eligibility Criteria Education: B.Tech, BCA, or MCA is mandatory and must be completed — candidates currently pursuing a degree, with backlogs, or an incomplete graduation are not eligible. Communication: Good spoken and written English — clear enough to document workflows and work within a team. Work mode & shift: Onsite at Gurugram, 5 days a week. Shift: 1:30 PM – 10:30 PM IST, with some flexibility as required. Availability: Immediate joiners or candidates able to start soon are preferred. Selection Process Application review (resume; projects, a GitHub, or a portfolio help). Technical / aptitude assessment (logic and basic coding). Interview with the Automation team, followed by an HR discussion. Why Join Neolytix Start in a High-Growth Field Begin your career in AI and automation — one of the most in-demand skill sets today. Learn & Build Structured training and mentorship from senior automation engineers, from day one. Real Work, Real Impact Build automations that run in a live healthcare business — not throwaway training exercises. Clear Growth Path A path to grow into Automation Analyst / Intelligent Automation Analyst as you develop. Questions? Reach out to Lakshay at Neolytix Talent Management   |   This document is confidential and for internal use only

Location: Ukraine Workplace: remote Creatio is an AI CRM and workflow platform where people and AI agents work together — with no limits on users, agents, or scale. We help midsize and large organizations run customer workflows in the AI era. With a global team and a large ecosystem of partners, Creatio serves thousands of customers in over 100 countries and automates tens of millions of workflows daily. Genuine care for our clients and partners is at the heart of our DNA.We’re proud to be recognized by top industry analysts as a Leader and Strong Performer in multiple Gartner and Forrester reports. In 2025, Creatio was named to Inc.’s Best Workplaces list, recognizing our commitment to employee wellbeing and a strong workplace culture.Who We’re Looking For:We are looking for an experienced AI Tech Lead with a strong .NET engineering background and hands-on expertise in building production-grade AI solutions.In this role, you will lead the technical direction of an AI engineering team responsible for designing, developing, and operating intelligent capabilities within the Creatio platform.You will work on the AI agent platform that enables AI agents to safely perform real work within enterprise workflows — interacting with tools and APIs, accessing business data, maintaining context and memory, enforcing permissions, and collaborating with humans when needed.This is a hands-on technical leadership role that combines software architecture, advanced AI engineering, team mentorship, and active involvement in development.We are looking for someone who can make architectural decisions, solve complex engineering challenges, introduce modern AI development practices, and help the team deliver reliable, secure, and scalable AI-powered solutions.Responsibilities:Lead the development of architectural solutions, including AI-powered features, agentic workflows, RAG-based solutions, and LLM integrations.Drive continuous optimization of development processes; introduce modern tools, AI-assisted development practices, engineering standards, and quality improvements.Facilitate team ceremonies: backlog refinements, sprint planning, and sprint reviews (demos).Take an active part in backlog execution: pair programming, complex development, code reviews, and mentoring.Collaborate closely with stakeholders and product managers to define technical direction and translate business requirements into technical solutions.Guide the design and implementation of AI agent architectures, including tool calling, orchestration, context and memory management, permissions, and guardrails.Ensure high quality through automated testing, AI evaluations, observability, and continuous monitoring of production AI solutions.Monitor and guide incident response (4th-line support), ensuring SLA compliance and issue resolution.Actively contribute to knowledge sharing, team development, and continuous improvement.Requirements: Must have:6+ years of professional software engineering experience, with strong expertise in C# and .NET.3+ years of experience in a Tech Lead or Team Lead role, including architectural decision-making, technical ownership, and mentoring.Hands-on experience building and delivering LLM-powered applications to production.Strong understanding of AI agent architectures, including tool calling, orchestration, context management, and agent frameworks.Knowledge of prompt engineering, AI evaluations, observability, and AI security best practices.Proficiency with AI coding agents (Claude Code, Cursor, Codex, or similar tools) in daily development.Strong knowledge of software architecture, distributed systems, REST APIs, and backend engineering principles.Experience with relational databases, automated testing, CI/CD, and cloud-native development.English level: Upper-Intermediate or higher, with strong communication, leadership, and problem-solving skills.Nice to have:Experience with MCP, multi-agent systems, and advanced agent orchestration.Practical experience with RAG, embeddings, vector/hybrid search, and LLM integrations.Knowledge of LLMOps practices, including evaluation pipelines, monitoring, and cost optimization.Experience with AI platforms such as Anthropic API, Azure OpenAI, AWS Bedrock, or Google Vertex AI.Python experience for AI development, prototyping, or automation.Experience with Kubernetes, enterprise SaaS products, or low-code/no-code platforms.What to expect from us:Growth & Development: Clear career paths, mentorship opportunities, and access to continuous learning to help you reach your full potential.Flexibility & Well-Being: We provide flexible work arrangements and initiatives that empower you to manage your schedule effectively, stay productive, and thrive both personally and professionally.Recognition & Impact: A culture that celebrates achievements, values your ideas, and empowers you to make real contributions from day one.Innovative Culture: Be part of a company that embraces new ideas, modern technologies, and bold thinking to stay ahead of the curve.Benefits & Rewards Package: We provide competitive compensation and benefits designed to support you and your family. Our rewards approach goes beyond salary, recognizing your contributions and commitment. The exact package may vary depending on your country of residence and employment type.

It offers 1–2 year paid pre-doc research positions working directly with UZH economics professors. • Full-time, in person in Zurich (70% research support, 30% on-the-job learning).

Responsibilities: — Build and enhance biometrics, algorithms, and data-driven insights for the Mira App — Analyze hormone, cycle, app behavior, and user outcome data to identify patterns and product opportunities — Develop and validate models for ovulation prediction, cycle modeling, hormone interpretation, and personalized recommendations — Collaborate with Product, Design, Engineering, R&D, and Real-World Evidence Scientist teams to translate data into app features and evidence-backed insights — Support real-world evidence and clinical research projects through data extraction, exploratory analysis, modeling, and validation — Define model performance and validation frameworks, addressing uncertainty, subgroup performance, missing data, and edge cases — Improve data quality by identifying instrumentation gaps and recommending better data capture in the app — Document model logic, assumptions, limitations, and appropriate use cases clearly for both technical and non-technical teams — Work with Engineering to transition prototypes into production-ready app features or data pipelines Requirements: — Strong skills in Python and data science — Preferred experience with SQL and working with longitudinal, time-series, behavioral, health, wearable, physiological, or biomarker data — Experience with model interpretability and explainability methods such as SHAP and LIME — Strong judgment in model validation, including handling missing data, avoiding leakage, testing robustness, and evaluating performance across user segments — Ability to translate data into user-facing product features, metrics, recommendations, or algorithms — Experience building models, scores, or analytical frameworks that influenced product, clinical, or business decisions — Strong communication skills with both technical and non-technical stakeholders — High ownership, startup speed, and comfort working with ambiguity — Good scientific judgment, including distinguishing product insights from clinical or marketing claims — Experience moving machine learning or algorithmic features toward production Benefits: — Remote position — 40-hour workweek — Flexible working hours — Occasional overlap with the US team — Competitive salary with performance-based bonus system tied to OKRs — Fully remote environment supporting autonomy, ownership, and independence — Real opportunities for career growth, including the ability to shape, build, and develop teams as the company scales

Location: Paris Workplace: Hybrid ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. About the Role We're looking for a hands-on Robotics Operations Specialist to support teleoperation sessions, robot benchmarks, robotics data quality, and evaluation runs. You'll work closely with engineers and operators to ensure sessions run on time and on spec - troubleshooting hardware issues in real time, preparing evaluation environments, and helping improve operational processes. Responsibilities Teleoperations Support & Operator Relations - Provide hands-on support during teleoperation sessions: setup, monitoring, and real-time troubleshooting - Debug equipment issues (connectivity, hardware faults, peripheral failures) and escalate when needed - Manage session scheduling, collector onboarding, equipment handoff, and session-readiness checks - Travel to client sites and data collection locations to onboard and train operators on teleoperation systems, protocols, and best practices - Serve as the liaison between operators and hardware/data collection teams - systematically gathering feedback on equipment usability, workflow friction, and potential improvements - Synthesize actionable insights to inform hardware development and process decisions Benchmark & Evaluation Operations - Support execution of robot benchmarks and evaluations alongside research and engineering teams - Prepare robots, stations, props, and task environments according to defined protocols - Ensure consistent resets, trial conditions, and operator execution across runs - Investigate failed or inconsistent runs to identify whether issues stem from the model, robot hardware, environment setup, or operator execution Data Quality & Annotation - Review collected datasets to assess quality, flag inconsistencies, and ensure data meets training standards - Onboard annotators on robotics annotations to assess video quality - Perform data analysis to identify patterns in collection quality, operator performance, and session outcomes - Collaborate with research teams to refine annotation guidelines and quality criteria - Maintain quality metrics and contribute to reporting on dataset health across collection campaigns Validation & System Integration - Verify that hardware, software packages, and peripherals work smoothly together across the robotics stack - Run tests in lab and staging environments, log bug reports, and contribute to root-cause analysis of recurring or production issues - Support test plan execution by following defined acceptance criteria and documenting results - Maintain detailed operational documentation for internal quality gates and runbooks What We're Looking For - Comfortable working hands-on with physical hardware: diagnosing, setting up, and maintaining equipment - Strong communicator who can work fluidly with both engineers and non-technical operators - Able to work autonomously and exercise independent judgment on methods and execution Nice to Have - Familiarity with robotics and teleoperation systems - Background in a research or hardware-forward environment - Experience writing operational runbooks or technical documentation   WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Ищем разработчика для создания AI-агентов и автоматизации рабочих процессов. — Разрабатывать и настраивать AI-агентов под задачи компании.

Задачи: — вести проекты от проектирования до запуска и приёмки станций; — контролировать EPC-подрядчиков, субподрядчиков и консультантов: соблюдение договоров, качества и сроков; — проверять проектную документацию и координировать работу строителей, гидротехников, механиков и электриков, а также подключение к сети; — контролировать CAPEX: проверять заявки на оплату, рассматривать допработы и претензии подрядчиков, не допускать перерасхода бюджета; — следить за графиком и сразу принимать меры при отставании; — обеспечивать соблюдение техники безопасности, экологии и качества на объектах; — вести испытания, пусконаладку и приёмку готовых станций. Требования: — от 10 лет в строительстве и управлении проектами; — обязателен опыт международных проектов; — опыт в гидроэнергетике, энергетике, Oil & Gas, промышленном или инфраструктурном строительстве; — опыт работы с EPC-контрактами; — понимание CAPEX, бюджетов, графиков и управления договорами; — будет плюсом: FIDIC, проекты ЕБРР, АБР или Всемирного банка; — английский не ниже B2, желателен свободный русский. Условия: — объекты в Кыргызстане и других странах Центральной Азии; — полная занятость; — конкурентная зарплата по итогам собеседования.

✔️ самостоятельно строит производство «с нуля»: от помещения и оборудования до первой партии и серии; ✔️ формирует команду (около 30 человек на старте: руководители, мастера, начальники смен, операторы) и умеет её вести;

Location: Москва В команду гении ИИ-помощник ищем руководителя, который объединит DevOps, SRE и Дежурную смену в единое направление. Цель роли - обеспечить надёжность продуктовых сервисов и построить платформу, позволяющую командам разработки быстрее и безопаснее выпускать изменения Обязанности * сформировать общую стратегию и модель взаимодействия DevOps, SRE и Дежурной смены * отвечать за доступность, производительность, масштабируемость и отказоустойчивость систем * развивать внутреннюю платформу, CI/CD, Infrastructure as Code и self-service для разработки * внедрять SLI/SLO, observability, capacity planning и управление техническим долгом * выстроить процессы дежурств, эскалаций, incident management и postmortem * снижать ручные операции, повторяющиеся инциденты и шум мониторинга * развивать команду, планировать ресурсы и выстраивать партнёрство с разработкой и ИБ. Требования * опыт управления DevOps, SRE, Platform Engineering или эксплуатационными командами * практический опыт эксплуатации критичных или высоконагруженных production-систем * понимание распределённых систем, отказоустойчивости, Kubernetes и облачной инфраструктуры * опыт построения мониторинга, on-call, incident management и практик SLI/SLO * сильные лидерские навыки и умение переводить бизнес-задачи в техническую стратегию * умение сохранять ответственность продуктовых команд за их сервисы в production. Условия * стабильный оклад и премии по результатам работы, ежегодный пересмотр зарплаты * комфортный современный офис рядом с м.Кутузовская * гибридный формат работы * корпоративный спортзал и зоны отдыха * уникальная система обучения Сбера для профессионального и карьерного развития * программа адаптации и помощь руководителя на старте * расширенный ДМС и льготное страхование семьи * гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ * бесплатная подписка СберПрайм, скидки на продукты компаний-партнеров * вознаграждение за рекомендацию друзей в команду Сбера * корпоративная пенсионная программа

Location: Hong Kong Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology- and data-driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped our collaborative mindset, which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high-quality returns for our investors. Your future role within QRT: QRT is expanding its global Network Operations capability to provide first-class 24/7 operational support for critical global network infrastructure and is seeking a Cloud SME within the Network SRE team. The successful candidate will act as the subject matter expert for cloud networking within the Cloud Network SRE team. In this role, you will bridge traditional network operations and advanced Site Reliability Engineering (SRE) practices for AWS network services and the wider hybrid network environment. You will be responsible for helping manage and maintain QRT’s cloud, on-prem and network automation platforms. QRT operates with an Infrastructure as Code (IaC) mindset, so you will be expected to demonstrate experience operating complex infrastructure at scale through automation, controlled releases and robust change governance. You will work closely with Network Engineering, Network Automation, Platform Engineering, Research, trading support and external vendor teams to drive continuous improvement, observability, self-healing automation, security, availability and reliability across our global hybrid cloud, WAN, Internet, datacentre and low-latency network footprint, while spearheading the team’s strategic roadmap and backlog delivery. Responsibilities Cloud Network Reliability Drive high-tier support and incident response for complex cloud and hybrid network incidents, coordinating with AWS and network vendors where required. Conduct thorough post-incident reviews and root-cause analyses, using findings to improve resilience, monitoring, automation and capacity planning. Serve as the definitive technical SME for the newly formed Cloud Network SRE team, collaborating closely with engineering, platform, and support teams to continuously improve service delivery. Drive high-tier support and incident response for complex hybrid (cloud and on-premises) network incidents. Conduct thorough post-incident reviews (PIRs) and root-cause analyses (RCAs) to prevent recurrence. Strategic Roadmap & Agile Delivery Lead the team’s strategic technical roadmap, creating and tracking against SLI/SLO targets, recurring incidents, Incident/RCA findings, capacity trends and long-term reliability/platform goals into actionable initiatives. Refine, prioritize, and manage the team backlog, translating strategic objectives into structured tasks integrated into regular agile sprint cycles. Collaborate with Network Engineering to transition new AWS network services, such as regional AWS Direct Connect deployments, into production operations with appropriate monitoring, documentation and support readiness. Observability, Automation, & Infrastructure as Code (IaC) Lead the creation and continuous improvement of monitoring dashboards, alerting and observability frameworks for cloud network services, alert prioritisation, trend/correlation analysis, fast fault detection and telemetry-driven incident response. Partner tightly with Network Automation and Platform Engineering teams to automate high-frequency operational tasks through automation, CI/CD, GitOps or orchestration where appropriate, reducing toil and enabling self-healing or event-driven remediation where practical. Oversee network configuration changes managed via Terraform and related automation tooling, ensuring peer review, controlled release/rollback, robust change control and alignment to internal architecture standards. Operational Governance & Vendor Partnership Conduct regular service performance reviews with AWS technical/account teams and relevant network vendors to review recurring issues, support deep-dive investigations, align on roadmap features and ensure contracted SLAs and internal SLOs are met or exceeded. Create and maintain robust operational documentation, architecture diagrams, and runbooks to drive down Mean Time to Resolution (MTTR). Required Skills & Experience Proven experience in a Site Reliability Engineering, Network Engineering or Cloud Infrastructure role, operating complex infrastructure at scale within a high-performance, mission-critical environment. Financial services or low-latency trading experience preferred. Expertise in AWS core networking services: AWS Direct Connect, Transit Gateway, VPC, Route 53, VPC Flow Logs, Cloud native firewall architectures, and PrivateLink. Strong production experience with Terraform for network provisioning and state management. Proficiency with modern observability and monitoring stacks (e.g., Prometheus/PromQL, Grafana, AWS CloudWatch) with experience improving alert quality and operational visibility. Demonstrated capability in scripting and automation using Python, Bash or Go, with exposure to CI/CD, GitOps, Ansible or orchestration workflows. Solid understanding of core networking protocols and architectures (BGP, IPsec VPNs, TCP/IP, DNS, routing/switching design). Experience driving technical roadmaps, backlog refinement, and sprint planning in an agile environment. Strong analytical and problem-solving skills with a bias toward automation over manual toil. Excellent communication skills to interface across platform engineering, trading desks, and external cloud vendors. Working Pattern This role operates within a global Network team. Participation in on-call, out-of-hours escalation, maintenance windows, and major incident response will be required, consistent with the operational nature of the team QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Требуется специалист на поддержку офисной инфраструктуры: телефония, сети, почта, поддержка пользователей. Проект предполагает поддержку как сотрудников в офисе, так и удаленных сотрудников, администрирование корпоративных сервисов и инфраструктуры, управление техникой и сетевым оборудованием, взаимодействие с внешними поставщиками и провайдерами.

Location: Москва IТ B2C — самая крупная экосистема в Сбере. Нас более 8000 человек в 18 городах России. Мы занимаемся разработкой и развитием розничных решений, помогая сделать сервисы Банка доступнее, безопаснее и удобнее. Обязанности * Развивать и сопровождать платформу мониторинга на базе VictoriaMetrics и Grafana: обеспечивать доступность, производительность и устойчивость её компонентов * Подключать ИТ-услуги к мониторингу: совместно с командами разработки определять необходимые метрики, настраивать сбор данных, дашборды и правила оповещения * Улучшать качество алертинга: сокращать ложные и дублирующие срабатывания, настраивать маршрутизацию уведомлений, связывать оповещения с инструкциями по диагностике и восстановлению * Совместно с владельцами сервисов определять SLI/SLO и настраивать контроль доступности, задержек и ошибок в критичных сценариях * Диагностировать инциденты платформы, участвовать в восстановлении работоспособности и разборе первопричин; реализовывать меры, предотвращающие повторение сбоев * Контролировать производительность и потребление ресурсов: анализировать кардинальность метрик, тяжёлые запросы и сроки хранения данных, планировать масштабирование * Автоматизировать развёртывание, обновление и конфигурирование компонентов; развивать CI/CD-пайплайны в Jenkins и Argo CD, хранить конфигурации в Git. Требования * Практический опыт эксплуатации production-систем в роли SRE, DevOps-инженера, инженера мониторинга или системного инженера * Уверенная работа с Linux: диагностика процессов, памяти, CPU, дисковой подсистемы и сетевых взаимодействий; понимание TCP/IP, DNS, HTTP и TLS * Практический опыт с VictoriaMetrics или Prometheus и Grafana: сбор метрик, дашборды, правила оповещения; умение писать и анализировать запросы PromQL/MetricsQL * Понимание типов метрик, labels, кардинальности и принципов построения полезного мониторинга приложений и инфраструктуры * Опыт диагностики инцидентов по метрикам и логам; понимание отказоустойчивости, резервирования и безопасного внесения изменений. * Навыки автоматизации на Bash и/или Python; работа с Git и конфигурациями YAML/JSON * Опыт настройки или сопровождения CI/CD-пайплайнов в Jenkins, Argo CD либо аналогичных инструментах. **Будет плюсом:** * Знание SQL для диагностических запросов и понимание основ работы PostgreSQL и Kafka * Умение самостоятельно вести техническую задачу от диагностики до проверенного результата, взаимодействовать с разработкой, инфраструктурными командами и владельцами ИТ-услуг * Опыт эксплуатации кластерной VictoriaMetrics, работы с vmagent, vmalert, Alertmanager и Grafana Alerting * Опыт работы с контейнерами и Kubernetes, Helm и GitOps-подходом. * Практика применения SLI/SLO, error budget, postmortem и автоматизации повторяющихся эксплуатационных операций * Опыт построения централизованного логирования, распределённой трассировки и инструментирования приложений с OpenTelemetry * Опыт работы с PostgreSQL/Patroni и Kafka/Corax: диагностика репликации, задержек обработки и проблем производительности * Разработка интеграций, экспортёров метрик и служебных инструментов на Go, Python или Java * Опыт создания AI-агентов и использования их в работе * Опыт использования GigaChat, Kandinsky и аналогов в продуктах, навыки создания и использования AI-агентов * Инструментальное владение AI для анализа, генерации и автоматизации. Условия * Формат работы - гибрид (БЦ Поклонка) * Ежегодный пересмотр зарплаты и годовая премия * Корпоративный спортзал и зоны отдыха * Более 400 образовательных программ СберУниверситета для профессионального и карьерного развития * Гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ * Расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа * Бесплатная подписка СберПрайм с возможностью совместного использования на трех близких, скидки на продукты компаний-партнеров * Вознаграждение за рекомендацию друзей в команду Сбера * Корпоративная пенсионная программа.

Location: GE Workplace: remote Overview: SOFTSWISS continues to expand the team and is looking for a Support Manager -Junior. We need a true and accomplished professional who shares our culture and values. About Product: The SOFTSWISS Game Aggregator is a high-load casino games API platform that connects operator platforms to multiple remote game servers via a single integration. Behind the product is a team of engineers, DevOps specialists, integration experts, account managers, and partnership professionals who ensure reliable, secure, and scalable operations for operators worldwide. You’ll solve complex technical challenges and help power one of the industry’s leading aggregation platforms. Purpose of the role: You will provide reliable first-line support and operational monitoring to ensure stable performance of the gaming infrastructure and timely resolution of client requests across internal and partner systems. Key responsibilities: Processing requests from clients in Jira helpdesk system Performance maintenance of the gaming infrastructure Interaction with associated departments and partners’ helpdesk systems Working on a schedule 2/2/3 from 5 am to 5 pm/9 am to 9 pm (GMT+3) or 5/2 from 10 am to 7 pm (GMT+3) – depending on Team current needs Required Experience: Higher or incomplete higher education / technical education is an advantage B2+ level of English B2+ level of Russian Work experience in support of helpdesk systems is desirable Nice to have: Technical support experience (the second line) Main Advantages Private health insurance Sports benefits Comprehensive Mental Health Program Free English lessons (online) Local language courses Paid time off Maternity leave support Referral program rewards Upskilling, internal workshops, and participation in professional conferences and corporate events