Вакансии

О вакансии Проект — образование, университет. Допустимые грейды: Senior. Оформление: ИП. Занятость — проектная (от года). Требования Опыт от 5 лет. Высшее образование (предпочтительно техническое в сфере IT). Уверенная разработка на PHP. Moodle: API ядра, структура плагинов, механизмы событий, ролевая модель, работа с БД (MySQL, PostgreSQL). Опыт разработки плагинов и интеграций для LMS Moodle (блоки, модули, локальные плагины, веб-сервисы). Умение работать по поставленной задаче и доводить её до рабочего результата. Понимание стандартов e-learning: SCORM, xAPI (Tin Can), LTI. Стек PHP, SQL, Git, HTML, CSS, JavaScript, AJAX.

240 000 – 290 000 ₽

Algolia is a market leader in AI Search, serving over 18,000 businesses and processing over 30 billion search requests weekly. The company raised $150 million in Series D funding in 2021, reaching a valuation of $2.25 billion. The Customer Success Engineer role involves ensuring customers successfully adopt, implement, and scale Algolia's search and discovery platform. Responsibilities include delivering technical onboarding, solution design, best-practice guidance, and hands-on implementation support. The role requires partnering with customers to design scalable solutions, supporting Professional and Expert Foundation offerings, acting as a Technical Owner for assigned accounts, and ensuring smooth delivery through communication, documentation, and stakeholder alignment. Key tasks include consulting customers, delivering technical workshops, advising on search implementation and optimization, collaborating with Customer Success Managers, escalating issues as needed, partnering with Product and Engineering teams, reporting case status, identifying and resolving technical risks, and optimizing customer environments. Requirements: — 4+ years in a customer-facing technical role (CSE, SE, SA, consultant), preferably in SaaS — Functional knowledge of at least one programming language: JavaScript, Java, PHP, C#, Objective-C, Swift, Ruby, Python — Experience with REST API, database management, and web development technologies — Experience delivering technical workshops (training, knowledge transfer, implementation, code review) — Lifelong learning and growth mindset — Ability to explain complex technical concepts to broad audiences — Proficiency in communicating technical issues to technical and non-technical audiences via phone and email — Excellent time management, task prioritization, and situational urgency evaluation — Occasional travel to customer locations may be required Nice to have: — Experience implementing or optimizing search & discovery experiences — Experience designing and developing generative AI and agentic applications — Experience in high-growth SaaS environments — Familiarity with iOS & Android platforms — Experience supporting open-source projects and GitHub communities — Experience with Shopify, Magento, and Salesforce Algolia offers a flexible workplace strategy with options for fully remote or hybrid-remote work. The company values grit, trust, candor, care, and humility. Algolia is committed to diversity, inclusion, and creating a respectful workplace. Candidates are advised to apply only through the official careers page and be cautious of recruitment scams.

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Задачи: — строить ML модели на основе различных данных: табличные, графовые, NLP, GEO, последовательности событий (кликстрим, транзакции и т.д.) — писать production код и выводить его в ПРОМ — улучшать процесс построения моделей, разрабатывать собственные прикладные модули командного фреймворка разработки для повышения производительности DS и улучшения качества кода в промышленной среде — выдвигать data-driven гипотезы/предложения для запуска новых механик, а также поиск инсайтов в данных. Требования: — глубокое знание классического ML — понимание основных Deep Learning подходов — продвинутое знание SQL — отличное знание Python — понимание и опыт АB-тестирования. Будет плюсом: — понимание специфики разработки ML-технологий, начиная с формулировки бизнес-проблемы, заканчивая выведением на регулярную основу в прод — опыт решения задач ранжирования или Real Time Bidding — опыт работы с Pyspark, Greenplum. Условия: — комфортный современный офис рядом с м. Кутузовская — офисный формат работы — ежегодный пересмотр зарплаты, квартальная и годовая премия — корпоративный спортзал и зоны отдыха — более 400 образовательных программ СберУниверситета для профессионального и карьерного развития — программа адаптации и помощь руководителя на старте — расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа — гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ — подписка Прайм с возможностью совместного использования на трёх близких — вознаграждение за рекомендацию друзей в команду Сбера.

Зарплата не указана

Задачи: — поиск подходящих ML решений для решения бизнес-задач, проведение оффлайн и онлайн (А/Б) экспериментов — разработка и улучшение ML-пайплайнов для задач RecSys: подготовка данных, обучение моделей, валидация и внедрение — анализ и работа с большими объёмами данных на PySpark — исследование и применение актуальных методик в области Data Science, Machine Learning и RecSys — взаимодействие с командой разработки и аналитики, генерация гипотез, участие в обсуждении решений и донесение результатов своей работы до команды. Требования: — опыт работы в области Data Science от 1 до 3 лет — интерес к рекомендательным системам, желание развиваться и постепенно брать на себя больше ответственности — практические навыки решения ML-задач: от подготовки данных и выбора алгоритмов до настройки гиперпараметров и оценки качества моделей — хорошая база в алгоритмах машинного обучения и интеллектуальном анализе данных; опыт применения классических ML- и/или DL-подходов будет преимуществом — хорошее знание Python и основных DS-фреймворков (PyTorch, PySpark и др.), понимание принципов написания качественного кода — способность самостоятельно разбираться в новых подходах, читать технические материалы на английском и применять их на практике Будет плюсом: — опыт реализации DS-проектов в области рекомендаций — опыт работы с ranking-задачами, feature engineering, A/B-тестами или ML-экспериментами — опыт вывода ML-решений в production или участия в развитии ML-пайплайнов. — опыт работы с высоконагруженными системами с машинным обучением и Big Data — участие в профильных курсах, соревнованиях или pet-projects в области ML/RecSys. Условия: — комфортный современный офис рядом с м. Кутузовская — возможность выбрать удобный график – офис/гибрид — ежегодный пересмотр зарплаты, годовая премия — корпоративный спортзал и зоны отдыха — более 400 образовательных программ СберУниверситета для профессионального и карьерного развития — программа адаптации и помощь руководителя на старте — расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа — гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ — подписка Прайм с возможностью совместного использования на трёх близких — вознаграждение за рекомендацию друзей в команду Сбера.

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Backblaze is a cloud storage company serving AI and data-intensive businesses, operating remotely with a US-based team. The VP, People role reports to the CHRO and involves leading People operations at a public, remote-first company scaling from 500 to 1000 employees and expanding internationally. Responsibilities include designing systems for engagement, culture, communications, retention, succession, and manager development without relying on a physical office. The role requires running a small HR Operations and strategic HRBP team, building the next operational layer using AI agents, and fostering a culture of connection, belonging, and teamwork. Key responsibilities: — Build engagement as a leader-owned discipline with measurable outcomes. — Develop strategic employee and leader communications with consistent messaging across geographies and time zones. — Design culture intentionally for a remote-first, fast-growing, international company. — Establish onboarding, team rituals, and in-person events with proper design and budgeting. — Promote remote working excellence ensuring uniform expectations and development opportunities worldwide. — Manage retention and succession planning to anticipate risks and build talent pipelines. — Rebuild manager capabilities for distributed teams adapting to AI-driven changes. — Collaborate with AI Transformation Leader on work design, job architecture, and team structure. In the first year, the VP will build engagement programs, remote work guidelines, recognition systems, communication cadence, retention and succession models, manager development approaches, and design in-person moments. Requirements: — Experience operating teams outside the US, managing employment realities internationally. — Experience scaling companies from 500 to 1000 employees with international expansion. — Hands-on builder who develops people through work and uses AI agents daily. — Leadership experience with a small team, close to operational work. — Ability to make a distributed, multi-geography workforce a great place to work. Preferred: — Comfortable with public company environment. — Experience in mid-sized technology companies with resource constraints. — Strong communication skills with a tendency to over-communicate. Not suitable for those who prefer established functions, large teams, focus on executive compensation, or see culture as a benefits or office issue. Interview process includes discussing past projects, AI usage, and interaction with HR teams. Benefits include competitive compensation, equity, full medical and retirement benefits, flexible vacation, parental leave, equipment stipend, childcare bonus, fertility support, learning programs, and commuter benefits. Backblaze is an Equal Opportunity Employer committed to diversity, equity, and inclusion.

Задачи: — Развивать, оптимизировать и масштабировать поисковое ядро Apache в среде AWS EKS. — Работать над качеством мультиязычного поиска (узбекский/русский языки), настраивая морфологию и синонимы. — Внедрять гибридный Vector с использованием семантических векторов (эмбеддингов). — Реализовывать алгоритмы персонального ранжирования LTR (Learning to Rank) на основе данных из нашей Data Platform. — Оптимизировать систему под High-Load нагрузки в десятки миллионов запросов. Требования: — Опыт работы со сложными поисковыми задачами в высоконагруженных e-commerce или классифайд-проектах. — Экспертные знания устройства Apache. — Уверенное владение Go для разработки микросервисов. — Понимание принципов работы алгоритмов ранжирования и векторного поиска. Условия: — Прямое влияние на продукт и архитектуру без лишней бюрократии. — Сильная инженерная команда и масштабные инфраструктурные вызовы.

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About Core Products & Platform Core Products & Platform is the foundation that powers the entire product — we build and maintain what every other direction at Fundraise Up depends on, and we directly secure the revenue that drives our mission. We own the full donation lifecycle: from the moment a donor lands on a checkout page to the financial flows behind every transaction, the integrations that connect our platform to the nonprofit's ecosystem, and the platform infrastructure that makes everything scale. Experiment velocity is our competitive DNA. 80%+ of growth experiments run through our products. We move fast, we measure everything, and we never break what matters. The Role We are looking for Product Managers to join Core Products & Platform and take full end-to-end ownership of a product domain that directly impacts donation volume, platform reliability, and nonprofit success. These are high-stakes, high-ownership roles. You will set strategy, define roadmaps, write specs that engineering can build from, and drive outcomes — not just ship features. You'll work in close partnership with Engineering, Design, Analytics, GTM, and Customer Success to turn complex problems into elegant, scalable solutions. You won't be handed a finished playbook. You'll help write it. What You’ll Own Product strategy and roadmap for your domain — with clear priorities and the reasoning behind every decision End-to-end delivery from discovery through to launch and post-launch validation Specifications that engineering can build from — with detailed requirements, edge cases, and acceptance criteria covered Stakeholder alignment — keeping Engineering, GTM, Support, and leadership informed and coordinated Domain health — product metrics, reliability signals, and the right balance between new features, experiments, and technical sustainability What You’ll Do Define and own your domain's quarterly goals and success metrics Run structured discovery: customer interviews, behavioral analysis, funnel review, and data exploration Write engineering-ready specs — clear, with edge cases covered and no open questions left Partner directly with PM Growth on experiment design and high-velocity delivery Collaborate with GTM (Sales, CSM, PMM) to resolve enterprise-critical issues and translate client needs into scalable product improvements Track product health and understand what's driving changes — with clear attribution and causal reasoning Use AI as a default tool across research, analysis, spec writing, and communication Requirements 5+ years of experience in Product Management in a B2B SaaS, Fintech, or Enterprise environment Proven ability to own a product area end-to-end — you take responsibility for outcomes, not just tasks Strong delivery track record: you ship complex features in high-pressure environments without dropping quality Ability to write specifications engineers can build from — precise, with edge cases and acceptance criteria Data fluency: you define metrics, interpret results, and drive decisions with evidence Systems thinking: you see the product as a whole, understand dependencies, and anticipate the impact of decisions Strong written and verbal communication in English (C1) and ability to work in a Russian-speaking team Comfort working in a fast-moving environment where priorities can shift and ambiguity is normal Nice To Have Experience in payments, fintech, or financial product flows Experience in B2B SaaS platforms with API/integration complexity Experience with A/B experimentation frameworks at high velocity Familiarity with enterprise nonprofit or fundraising domain AI at Fundraise Up At Fundraise Up, AI is a default tool — not an experimental one. We expect every team member to actively use AI in their day-to-day work, identify where AI can change the shape of problems in their function, and grow their fluency as the tools evolve. You should already be using AI meaningfully in your work and understand where it adds value and how it can improve the way you operate. Why work with us A strong, collaborative product team that owns what it builds Clear product vision and access to real customer feedback from global nonprofit leaders Flat structure: no politics, just great work with great people Transparent company culture—we share how we’re growing, where revenue comes from, and what’s next Long-term focus: we offer equity options and value sustained, meaningful contribution Compensation & Benefits Compensation range: €5,600 - €6,100 gross. Final compensation determined based on experience, skills, qualifications, alignment with requirements, and location. 31 days off 100% paid telemedicine plan Home Office Setup Assistance English learning courses (50% reimbursement, up to $1,000 annually) Relevant professional education (100% reimbursement, up to $1,500 annually) Gym or swimming pool (50% reimbursement, up to $500 annually) Co-working (up to $250 monthly) Remote working Equal opportunity employer; inclusive environment; non-discrimination

RELOCATION TO MANILA PH Salmon is a technology-driven financial company building a banking and lending platform across Southeast Asia, starting in the Philippines. We combine global fintech expertise with deep local market knowledge to make financial services simple, accessible, and useful for millions of people across the region. 7M+ app downloads. 2M+ monthly active users. 7,000+ partner stores. US$310M+ raised from leading global investors. Manila-based, globally distributed, and hybrid-first — our team spans 45+ countries. About the role: You'll own the NPV and unit economics model behind Salmon's credit card business — the core logic behind how we price, size, and monitor profitability across the portfolio. What you'll do: — Work directly with the Head of Economics to turn model logic into production-ready Python/SQL code — Build and maintain the datasets that feed the model — cohorts, cashflows, losses, funding, fees, revenue — with help from other analysts — Automate scenario and sensitivity runs so pricing, limit, and product decisions are backed by real numbers What you'll own: — Own the end-to-end NPV / unit economics model for credit cards — clean, testable, versioned logic — Validate model outputs against actual portfolio performance and investigate gaps when they don't match — Translate model logic into clear, implementation-ready specs when other teams need to build on it — Step outside your immediate scope when the work calls for it — we value ownership over rigid roles What makes you a strong fit: — 2–3+ years of hands-on experience in data analytics — Strong Python (pandas) and SQL — for data exploration and for implementing analytics logic in production — Solid understanding of unit economics / financial modeling — cashflows, NPV, cohorts — through direct modeling experience or hands-on work with such models — High attention to detail — small errors break economics in production What we offer: — Ownership and flexibility — Stock option plan — four-year vesting with a 25% cliff after the first year — Hybrid-first work environment — Company-provided tools and equipment — Office in Bonifacio Global City, Manila — a modern, walkable district at the centre of the Philippines' growing tech scene — Health and time off — Medical insurance support for you and your family through co-funding or reimbursement, depending on your location and subject to policy limits — Access to an internal mental health support specialist — 22 vacation days, Philippine public holidays, and 15 sick days — 105 days of paid maternity leave and up to 14 days of paid paternity leave for employees relocating to Manila — Relocation and family support — Relocation support for you and your family — including flights, two weeks of accommodation, visas, paperwork, and logistics — Reimbursement of eligible pet relocation expenses — USD 2,500 per year for flights home — Baby and family stipends for employees relocating to Manila: USD 1,000/month per child under two, USD 500/month per child aged two to 18 — Growth and team experience — Opportunities to learn and share your expertise through internal expert meetups, external conferences, speaking opportunities, and industry publications — Company-sponsored trips to Manila to meet and work with your team in person — Regular team offsites, sports activities, and team events — High-performing teams can earn a dedicated beach house week in Southeast Asia

Задачи: — Подготовка данных: выгрузки из PostgreSQL и POS, очистка, пропуски, выбросы — Прогнозные модели: поток гостей, спрос на позиции меню, потребность в закупках — Признаки предметной области: сезонность, праздники, погода, история продаж — Валидация: разбиение по времени, контроль утечек, бизнес-метрика рядом с технической — Продуктовые исследования: сегменты гостей, средний чек, отток, эффективность акций — Передача модели в прод вместе с бэкендом: контракт данных, инференс, мониторинг качества — Код-ревью, обсуждение гипотез, планирование задач Требования: — Python 3.11+, аннотации типов — pandas, NumPy: группировки, join'ы, оконные функции, даты — scikit-learn: пайплайны, кросс-валидация, подбор гиперпараметров — Метрики и переобучение: MAE / MAPE, бейзлайн, утечки — SQL: join'ы, агрегаты, оконные функции — EDA: matplotlib или seaborn — Git, ветки, PR, код-ревью — Плюсом: statsmodels, Prophet, CatBoost, Docker, FastAPI, Airflow, MLflow, LLM и RAG Условия: — Удалённо из России, свободный график — Доступы к AI-сервисам (ChatGPT, Claude и другие) — Обучение за счёт компании: курсы, книги, конференции, хакатоны — Ревью каждые 6 месяцев, путь до Middle+ за 0.5–1 года

90 000 – 105 000 ₽

Responsibilities: • Add and update products on the website and marketplaces • Prepare and maintain product descriptions, photos, prices, and specifications • Ensure product information, pricing, and stock availability are accurate and up to date • Manage and structure product categories and catalogue content • Optimize product content for SEO • Conduct regular inventory and product availability checks • Communicate with suppliers and other business partners • Identify and establish cooperation with additional marketplaces Requirements: • Strong attention to detail and ability to work with large amounts of information • Experience with e-commerce platforms or willingness to quickly learn • Good organizational and time-management skills • Confident English • Valid Cyprus work permit, if currently based in Cyprus Would be a plus: • Previous experience in e-commerce, product listing, content management, or marketplaces • Basic understanding of SEO • Experience with Shopify or similar e-commerce platforms • Russian language We offer: • Remote & office work format • Official employment • Staff discounts • Modern working environment in central Limassol • Opportunity to grow within a developing e-commerce business

Зарплата не указана

Mission of the role To ensure the accurate, timely, and compliant processing of payroll for multiple UK clients. The UK Payroll Executive will be responsible for managing payroll data, processing payroll transactions, supporting workplace pension auto-enrolment, responding to client queries, and ensuring all payroll activities are completed in line with UK labour laws, HMRC requirements, tax regulations, and agreed client timelines. The role requires strong attention to detail, client service, ownership, and the ability to manage multiple payrolls and deadlines efficiently while continuously looking for ways to improve workflows through technology, AI, and automation. Key outcomes In the first 6–12 months Outcome 1: UK Payroll Knowledge & Process Proficiency Develop a strong foundational understanding of UK payroll regulations and processes and confidently apply the appropriate rules when preparing and processing client payrolls. Become fully familiar with Sleek's internal payroll platforms and processes, including HMRC submissions such as RTI, FPS and EPS, workplace pension submissions, and year-end reporting requirements including P60s and P11Ds by the third month. Outcome 2: Accurate & Compliant Payroll Processing Process assigned client payrolls accurately and within agreed timelines, ensuring all payroll data is complete and correctly validated before submission. Ensure 100% compliance with agreed payroll and statutory deadlines, including payroll runs, pension auto-enrolment submissions, and applicable HMRC requirements. Identify discrepancies or potential issues early, take ownership of resolving them, and maintain high standards of confidentiality and data accuracy. Outcome 3: Client Service & Responsiveness Maintain a high level of client satisfaction by providing prompt, accurate, and professional responses to payroll-related queries. Consistently achieve a CSAT target of at least 97% month-on-month while ensuring that client queries and emails are responded to within the agreed communication SLA, with no non-reply tickets or emails left unresolved at the end of the working day. Build trusted relationships with clients by providing clear updates, proactively following up on outstanding information, and handling difficult conversations positively when required. Outcome 4: Team Collaboration & Process Improvement Work effectively with the UK Payroll team and other internal departments to ensure smooth payroll operations and timely resolution of client or processing issues. Contribute to improving payroll processes and operational efficiency by identifying opportunities to use AI, automation, payroll technology, and improved workflows to reduce manual work, improve accuracy, and increase turnaround times. Must-have experience Minimum 1–2 years of hands-on UK payroll processing experience. Experience working in a bureau, outsourced payroll environment, or shared services centre is preferred. Experience managing multiple client payroll accounts is an advantage. Working knowledge of UK payroll processes, HMRC requirements, tax regulations, and workplace pension processes. Experience with payroll software such as BrightPay, Xero Payroll, or similar is an advantage. Strong attention to detail and experience working with sensitive and confidential financial information. Proven ability to manage multiple priorities and meet strict deadlines. Strong written and verbal English communication skills. Comfortable working with data and payroll-related reporting and metrics. Practical experience or strong interest in using AI tools, automation, and IT applications to improve daily workflows. Must-have attributes Ownership & Accountability: Takes full responsibility for assigned payrolls and client accounts, follows through on tasks without constant supervision, and proactively resolves issues or roadblocks. Humility: Open to feedback, willing to learn, and comfortable acknowledging knowledge gaps and seeking support when required. Structured Thinking: Able to organise multiple client payrolls, deadlines, queries, and tasks in a clear and logical manner, while using sound judgement to prioritise competing requirements. Data Driven & Attention to Detail: Comfortable working with numbers and payroll data, with a strong focus on accuracy. Able to identify discrepancies, missing information, or inconsistencies before they impact payroll processing or clients. Can Have Tough Conversations in a Positive Way: Able to communicate clearly and professionally when dealing with sensitive payroll issues, missing information, delays, or difficult client situations while maintaining a constructive client relationship. AI & Tech Savvy: Energetic about adopting new software, AI tools, automation, and technology to make payroll processes more efficient and effective. The interview process The successful candidate will participate in the following interview stages. We anticipate the process to last no more than 3 weeks from start to finish. TA Screen / One-way Video Interview: Shortlisted candidates will be invited to complete a one-way video interview to assess spoken and written communication, relevant UK payroll experience, motivation, and initial background. Technical Round: A 30-minute interview and practical assessment with the Hiring Team to assess UK payroll knowledge, payroll processing experience, attention to detail, ability to work with payroll data, and understanding of UK payroll processes and deadlines. Soft Skills Round: A 30-minute chat with a member of the leadership team to evaluate real-world work scenarios against our core behavioural values, including ownership, humility, structured thinking, communication, and ability to handle challenging situations. Reference Verification: Prior to final offer confirmation, we will conduct one professional reference check with your recent direct manager or supervisor. To keep the process moving smoothly, this step may be initiated during the final interview stages. Requirement for background screening Please be aware that Sleek is a regulated entity and as such is required to perform different levels of background checks on staff depending on their role. This may include using external vendors to verify: Your education Any criminal history Any political exposure Any bankruptcy or adverse credit history We will ask for your consent before conducting these checks. Depending on your role at Sleek, an adverse result on one of these checks may prohibit you from passing probation. Some other great things about working at Sleek Humility and kindness: Humility is a core attribute we hire for, which means we have a culture of not taking ourselves too seriously and being able to laugh. Kindness is also incredibly important. We are committed to creating and nurturing a diverse and inclusive environment. Flexibility: You’ll be able to work remotely. If you need to start early or start late to cater to your family or other needs, we don’t mind, so long as you get your work done and proactively communicate. You can also work fully remote from anywhere in the world for 1 month each year. Financial benefits: We pay competitive market salaries and provide staff with generous paid time off and holiday schedules. Certain staff at Sleek are also eligible for our employee share ownership plan and can share in the upside of our stellar growth trajectory as we work toward listing on a prominent stock exchange in the Asia Pacific region. Personal growth: You’ll get a lot of responsibility and autonomy at Sleek - we move at a fast pace so you’ll be making decisions, making mistakes and learning. There’s also a range of internal and external facing training programmes we run. We’re also at the forefront of utilising AI in our space and are developing a regional centre of AI excellence. It is our intention that if you leave Sleek, you leave as a more well-rounded person and professional. Sleek is also a proudly certified B Corp. Since we started our journey in 2017, we’ve been committed to building Sleek as a force for good. In just over 5 years, we’ve joined a community of industry leaders like Patagonia, Ben & Jerry's, and P&G who are building an inclusive, equitable, and a regenerative economy.

Задачи: — разработка моделей с применением алгоритмов и техник машинного обучения; — развёртывание моделей в выбранной среде; — обработка и устранение возникающих проблем, связанных с работой модели после вывода в продуктивное использование. Требования: — опыт работы по направлению не менее 2 лет; — знание алгоритмов и техник машинного обучения, их преимуществ, недостатков и особенностей применения; — понимание теории вероятности и математической статистики; — опыт программирования на языке Python, уверенное владение синтаксисом и основными конструкциями языка, использование библиотек для анализа данных и машинного обучения, знание библиотек для работы с веб-технологиями (Numpy, Pandas, matplotlib, seaborn, scikit-learn, XGBoost, CatBoost, PyTorch); — знание системы контроля версий и методов CI/CD; — понимание принципов работы с API и опыт их интеграции в проекты. Условия: — удалённый формат работы либо гибрид. — ДМС со стоматологией, индексация зарплаты, бонусы за командные и личные достижения, кафетерий льгот (20 000 на услуги от образования до здоровья каждый год), программы финансовой, психологической и юридической поддержки, компенсация питания, программы адаптации. — индивидуальные планы развития, помощь в наращивании экспертизы, работа с внутренним кадровым резервом внутри Северстали и Севергрупп. — корпоративная культура, взаимоуважение и поддержка на всех уровнях управления.

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Задачи: — участвовать в полном цикле разработки моделей по рискам розничного бизнеса: постановка задачи, сбор данных, разработка ML-модели, подготовка артефактов для внедрения — исследовать источники данных и современные архитектуры для повышения качества работы моделей — написание алгоритмов для целей сегментации выдач по риск-доходности — презентация результатов исследований бизнес-заказчикам. Требования: — опыт разработки моделей машинного обучения (классический стек) — знание ключевых методов и алгоритмов в области Machine Learning — знание Python и библиотек Pandas, Scikit-learn, XGBoost/LightGBM/CatBoost, Transformers — навыки работы с базами данных, знание SQL, PySpark — высокий уровень ответственности и самостоятельности Будет плюсом: — опыт стажировок — опыт с LLM и AI-агентами — учебные знания в области розничного кредитования, портфельного управления и математики кредитных рисков. Условия: — оплачиваемая стажировка — возможность выбрать удобный график – офис или гибрид (локация: м. Кутузовская) — корпоративный спортзал и зоны отдых.

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Задачи: — Интеграция с автопилотами (PX4/ArduPilot), доработка прошивок, offboard управление, MAVlink — Разработка симуляционного стенда и HIL/SIL пайплайнов, автоматизация регрессионных тестов управления — Подготовка и проведение летных испытаний, анализ логов, доработка по полученным данным — Работа с отказоустойчивостью: детекция отказов, safety-логика, деградация режимов — Оценка состояния и sensor fusion (IMU, барометр, магнитометр, GNSS, дальномеры) совместно с командой разработки — Разработка и настройка контуров управления БПЛА (мультироторы): attitude/rate, position, velocity, guidance Требования: — Понимание теории управления на практическом уровне: PID/каскадные схемы, LQR, MPC, фильтр Калмана (EKF/UKF) — Хорошие навыки кодинга на Python — Опыт работы с динамикой летательных аппаратов или роботов: моделирование, идентификация, кинематика/динамика твёрдого тела, кватернионы — Опыт с PX4/ArduPilot/BetaFlight и/или ROS/ROS2 — Сильный бэкграунд в математике и/или физике — Умение работать с реальным железом и логами, а не только с моделью в MATLAB Будет плюсом: — Реальные налёты и опыт настройки аппаратов «в поле», навыки пилотирования — Опыт с симуляторами: Gazebo, Isaac Sim, AirSim, jMAVSim — Навигация без GNSS: VIO, terrain-relative navigation, оптический поток — Опыт с embedded: STM32, RTOS, интеграция на Jetson/Rockchip/RPi — RL или learning-based control как дополнение к классике Условия: — Официальное трудоустройство по ТК РФ с первого рабочего дня, полностью «белая» заработная плата — Соц. пакет по ТК РФ — Конкурентная белая заработная плата, обсуждается индивидуально, оклад 100% — Годовая премия по результатам работы — Офис в ОЭЗ «Технополис Москва» Руднево, рядом со станциями метро Некрасовка/Лухмановская — Современный офис, оснащённый по последнему слову техники — График 5/2 с гибким началом рабочего дня (с 08:00 до 10:00), пятница сокращённый день — Испытательный срок 3 месяца — После испытательного срока гибридный график по согласованию с руководителем — Возможность реализовать свои идеи и получить практический опыт в цифровизации/автоматизации — Открытая, демократичная культура, дружный коллектив и хороший психологический климат Просьба в сопроводительном письме указывать зарплатные ожидания.

от 100 000 ₽

Mirantis, an IREN company, is the Kubernetes-native AI infrastructure company, enabling organizations to build and operate scalable, secure, and sovereign infrastructure for modern AI, machine learning, and data-intensive applications. By combining open source innovation...

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About Us The Law Offices of Sabrina Li, P.C. is a leading, full-service U.S. immigration law firm with offices in Los Angeles, Pasadena, Santa Ana, and Dallas, as well as international operations across Asia, Africa, and Central and South America. The firm prioritizes professional development, clear career pathways, and a culture of accountability and respect. The Opportunity Seeking a tech-savvy, proactive HR professional with excellent communication skills to support HR team across recruitment, onboarding, compliance, and training. The role involves working with firm leadership to maintain smooth HR operations and improve HR processes using AI and automation. Key Responsibilities HR Operations & Compliance: — Support employee onboarding, helping new hires get proficient with firm's technology stack within first week. — Assist with HR document, process, and compliance audits; monitor completion of documentation, certifications, training, and policy acknowledgements. — Follow up with employees and managers on outstanding compliance items. — Maintain accurate HR records within Rippling and other HR systems. Recruitment & Talent Support: — Support sourcing for open roles, including candidate outreach and headhunting for hard-to-fill positions. — Manage candidate pipelines and update hiring managers on status. — Assist with background and reference checks and credential verification. — Participate in candidate interviews alongside hiring managers. Training & Development: — Maintain and update training curriculum, onboarding materials, and learning resources. — Assist in creating SOPs, workflow documentation, process maps, and training materials. — Support development of assessments and knowledge checks to track training completion. Process Improvement & Automation: — Identify opportunities to streamline HR workflows through automation and AI-powered tools. — Help maintain workflows within monday.com and other operational platforms. Qualifications — Bachelor's degree in Psychology, Human Resources, Business Administration, Management, or related field. — Tech-savvy with ability to quickly learn and adapt to new tools, systems, and platforms. — Excellent written and spoken English with strong, proactive communication skills. — Proactive and self-directed, able to anticipate needs and take initiative in fast-paced, fully remote environment. — Minimum 2 years experience in HR operations for U.S.-based company, including onboarding, compliance, or employee lifecycle support. — Experience using monday.com and HRIS platforms such as Rippling. — Experience creating clear documentation, SOPs, or process materials. — Comfortable using AI tools to support content creation, documentation, and process efficiency. — Strong attention to detail and ability to manage multiple priorities. — Preferred: recruitment or sourcing experience including candidate outreach, vetting, and interviewing. — Preferred: experience with Canva or similar tools for training or communication materials. Why Join Our Team? — Stable, remote opportunity with a well-established U.S.-based law firm. — Competitive compensation with performance-based bonuses. — Fully remote role within a diverse global team. — Paid time off including U.S. federal holidays, sick leave, and annual leave. — Pacific Time-aligned working hours with reasonable flexibility. — Opportunity to grow with the firm's HR function as it scales. — Structured onboarding and clear expectations from day one. — Supportive and collaborative work environment built on accountability and continuous improvement. — Thoughtful company culture including birthday recognitions and team appreciation initiatives. Working Hours — Full-time role, 8 hours per day (excluding 1-hour break). — Scheduling flexible but requires minimum 5–6 hours overlap with Pacific Time operating hours. Application Process — Candidates may be asked to submit resume/CV, complete communication and presentation assessments, provide proof of qualifications and references. — Compensation verification may be conducted for shortlisted candidates. Additional Information — Fully remote, South Africa-based role. — Engagement as independent contractor; tax compliance is contractor's responsibility. — 3-month probationary period applies. — Equal opportunity employer welcoming applicants from all backgrounds. — Contacting offices by phone, email, or social media regarding this position is prohibited and will result in disqualification.

TripleTen is an international platform of digital re-skilling products that helps people from diverse backgrounds learn new professions and build sustainable careers in tech. Languages: English (C1+). Remote work.

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TripleTen is an international platform of digital re-skilling products that helps people from diverse backgrounds learn new professions and build sustainable careers in tech. Languages: English (C1+). Remote work.

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