Данные и ML вакансии - удалённо

-Проектировать структуры операционных хранилищ и модели мастер-данных. -Разрабатывать процессы загрузки, обработки, хранения и передачи данных.

You’ll design and implement scalable, efficient, and reliable data architectures that support business and analytical needs. You’ll build and maintain data pipelines, ETL processes, and integration solutions for large volumes of structured and unstructured data.

Развитие классификатора данных для полей БД (Tabular ML). Развитие существующей ML-модели (RandomForest), которая выявляет ПДн в полях баз данных на основе метаданных и значений.

• Опыт разработки прибыльных ML-моделей или торговых стратегий. • Знание Python, PyTorch/JAX.

💎 Ozon ищет Data Engineer в команду операционных прогнозов для работы над задачами операционного прогнозирования в ритейле: предстоит писать алгоритмы обработки больших данных (сотни миллионов строк), исследовать и подготавливать данные, оптимизировать вычисления, продуктивизировать и сопровождать алгоритмы, выполнять ревью кода и анализ инцидентов;

Location: United States Workplace: Remote Webflow is the agentic web marketing platform for modern marketing teams, helping organizations build, manage, and optimize high-performing web experiences that drive predictable growth and strengthen brand trust. Building at Webflow will need grit, because we move fast, without ever sacrificing craft or quality. We’re looking for a Staff Data Engineer who can take ownership of and drive key initiatives across Data Platform Engineering, including the data lake, event instrumentation, data quality, and data governance. ABOUT THE ROLE: - Location: Remote-first (United States) - Full-time - Permanent - Exempt - The cash compensation for this role is tailored to align with the cost of labor in different geographic markets. We've structured the base pay ranges for this role into zones for our geographic markets, and the specific base pay within the range will be determined by the candidate’s geographic location, job-related experience, knowledge, qualifications, and skills. - United States  (all figures cited below are in USD and pertain to workers in the United States) - Zone A: $212,500 - $255,000 - Zone B: $200,000 - $240,000 - Zone C: $186,500 - $224,000 This role is also eligible to participate in Webflow's company-wide bonus program. Target amounts are a percentage of base salary and vary by career level. Payouts are based on company performance against established financial and operational goals.  Please visit our Careers page https://webflow.com/careers#pay-zones for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter. - Application Information: - Application deadline: applications accepted on an ongoing basis until position is closed and filled - This posting is for an existing vacancy - Reporting to the Manager, Data Engineering As a Staff Data Engineer, you'll… - Design data solutions across batch, streaming, and real-time workloads. - Design and build reliable data pipelines using Spark, Kafka, Iceberg, and Airflow/MWAA. - Contribute to the evolution of data lake and data platform, including ingestion, processing, storage, and serving patterns. - Build, maintain and scale cloud data infrastructure that includes Kafka, Airflow, Druid, EMR on EKS with reliability and observability in mind. - Implement and improve data quality, observability, reliability, and governance across data pipelines and systems. - Define and improve standards for event instrumentation and governance, including event schemas, validation, and schema evolution. - Build platform solutions for centralized PII handling, data retention, deletion, and residency to support GDPR and CCPA requirements. - Build agent harness capabilities that encode data engineering standards, pipeline patterns, and quality gates into AI tools, enabling agents to safely generate, review, and operate on data platform code. - Contribute hands-on to complex technical initiatives, troubleshoot production issues, mentor engineers, and collaborate with Analytics Engineering and other teams. - Build agent harnesses that embed data engineering standards, pipeline patterns, and quality gates into AI-assisted development workflows. ABOUT YOU: Requirements: - BA/BS degree or equivalent experience - 5+ years of experience in data engineering, building and operating production data pipelines and platforms. - Strong experience with Spark and distributed data processing, including designing and optimizing production data pipelines. - Experience designing batch, real-time, and streaming data solutions using technologies such as Kafka, Spark Structured Streaming, and CDC. - Experience implementing data quality, observability, and reliability across production data systems. - Experience with cloud data infrastructure, CI/CD, and infrastructure-as-code. - Demonstrated experience leading complex data engineering initiatives end-to-end, from technical design and decomposition through implementation and production. - Strong Programming and SQL skills, with experience building reliable and maintainable data systems. You’ll thrive as a Staff Data Engineer if you: - Can navigate ambiguous problems, evaluate architectural tradeoffs, and make pragmatic technical decisions. - Think beyond individual pipelines and consider the end-to-end data ecosystem, from data producers through downstream consumers. - Bring experience with data governance and privacy, including PII management, retention, deletion, data residency, GDPR, or CCPA. - Bring experience with event instrumentation and governance, including event schemas, validation, and schema evolution. - Collaborate with engineers on complex technical problems and help establish practical engineering best practices. - Embrace AI and emerging technologies, applying them in your development workflow and helping the team adopt new tools through shared learnings and best practices. - Stay curious and open to growth  demonstrating a proactive embrace of AI, and actively building and applying fluency in emerging technologies to elevate how we work, drive faster outcomes, and expand collective impact. OUR CORE BEHAVIORS - Build lasting customer trust. We build trust by taking action that puts customer trust first. - Win together. We play to win, and we win as one team. Success at Webflow isn't a solo act. - Reinvent ourselves. We don't just improve what exists, we imagine what's possible. - Own it all the way. We move fast because the moment demands it, and we hold ourselves accountable to deliver outcomes — for each other, and for customers.   BENEFITS - Ownership in what you help build. Every permanent Webflower receives equity (RSUs) in our growing, privately held company. - Health coverage that actually covers you. Comprehensive medical, dental, and vision plans for full-time employees and their dependents, with Webflow covering most premiums. - Support for every stage of family life. 12 weeks of paid parental leave for all parents and 6+ weeks of additional paid leave for birthing parents. Plus inclusive care for family planning, menopause, and midlife transitions. - Time off that’s actually off. Flexible vacation, paid holidays, and a sabbatical program to help you recharge and come back inspired. - Wellness for the whole you. Access to mental health resources, therapy and coaching. - Invest in your future. A 401(k) with 100% employer match (up to $6,000/year) in the U.S., and support for retirement savings globally. - Monthly stipends that flex with your life. Localized support for work and wellness expenses — from Wi-Fi to workouts. - Bonus for building together. All full-time, permanent, non-commission employees are eligible for our annual WIN bonus program.   Temporary employees may be eligible for paid holiday and time off, statutory leaves of absence, and company-sponsored medical benefits depending on their Fixed Term Contract and their country/state of employment.   BE YOU, WITH US At Webflow, equality is a core tenet of our culture. We are an Equal Opportunity (EEO)/Veterans/Disabled Employer and are committed https://webflow.com/diversity-equity-inclusion to building an inclusive global team that represents a variety of backgrounds, perspectives, beliefs, and experiences. Employment decisions are made on the basis of job-related criteria without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other classification protected by applicable law. Pursuant to the San Francisco Fair Chance Ordinance, Webflow will consider for employment qualified applicants with arrest and conviction records.   STAY CONNECTED Not ready to apply, but want to be part of the Webflow community? Consider following our story on our Webflow Blog https://webflow.com/blog, LinkedIn https://www.linkedin.com/company/webflow-inc-/, X (Twitter) https://twitter.com/webflow, and/or Glassdoor https://www.glassdoor.com/Reviews/Webflow-Reviews-E890506.htm.   PLEASE NOTE: We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Upon interview scheduling, instructions for accommodation requests will be administered. To join Webflow, you'll need a valid right to work authorization depending on the country of employment. If you are extended an offer, that offer may be contingent upon your successful completion of a background check, which will be conducted in accordance with applicable laws. We may obtain one or more background screening reports about you, solely for employment purposes. Webflow uses AI tools to assist in screening and evaluating applications. AI does not make final hiring decisions. For details on how we process your personal information, see Webflow’s Applicant Privacy Notice https://webflow.com/legal/applicant-privacy-notice.

На данный момент мы в поиске Data Analyst / Data Engineer (LLM/AI, Data) Формат работы: Удаленный Локация и гражданство: РФ Оформление: только как ИП ✅ Задачи: Сбор данных из внутренних сервисов, LLM Gateway, GitLab, Jira, логов AI-агентов и других источников. Анализ активности пользователей, сценариев и профилей использования AI-инструментов.

Что предстоит делать Разрабатывать с нуля MVP новой дата‑платформы и инфраструктуры для ingest/transform. Мигрировать существующие пайплайны с Hadoop/HDFS на новую архитектуру (S3, Kafka, Spark, ClickHouse).

Разрабатывать и улучшать модели рекомендаций и ранжирования для разных пользовательских сценариев: рекомендации заведений на карте, поиск по категориям, персональные подборки. Формулировать и проверять продуктовые и ML-гипотезы: проводить офлайн-оценку моделей и участвовать в A/B-тестах.

2GIS CDP — это внутренняя Customer Data Platform, лежащая в основе стратегии развития всего 2ГИС на ближайшие годы. CDP объединяет данные из десятков источников, строит единые пользовательские профили, рассчитывает метрики, интересы и модели поведения, помогает запускать real-time персонализацию прямо в продукте и управлять персонализированной рекламой и коммуникацией. Это стартап внутри большой компании — со свободой в архитектуре и технологиях, с задачами уровня highload и с реальным влиянием на бизнес-результаты. О команде Мы объединяем инженеров, аналитиков и ML-специалистов, которые строят систему, меняющую подход к данным в 2ГИС. Работаем с большими объемами событий, продумываем архитектуру под масштаб и надежность, ценим простые и элегантные решения. Каждый в команде влияет на архитектуру, подходы и направление развития CDP. Наш стек Backend: Go, gRPC Frontend: TypeScript, React Autotests: Python, Playwright, Allure Infrastructure: Kubernetes, Kafka, ClickHouse, Spilo/PostreSQL, Spark, Airflow. Стек только формируется — ты сможешь повлиять на его развитие и архитектуру. Тебе предстоит Повысить эффективность пайплайнов для расчета с daily-признаков на основе batch процессинга. Создать эффективный пайплайн для расчёта realtime-признаков на основе Kafka‑топиков. Проектировать и разрабатывать сервисы, обрабатывающие миллиарды событий пользователей. Решать сложные инженерные задачи: расчеты метрик, построение витрин. Работать с потоками данных и интеграциями между CDP и другими системами 2ГИС. Влиять на архитектурные решения и качество кода. Работать в распределенной команде, взаимодействуя с аналитиками, продактами и инженерами других направлений. Ждем от тебя Опыт работы с highload-системами. Опыт проектирования архитектуры данных или платформенного кода. Опыт работы с Kafka, ClickHouse или другими системами потоковой и аналитической обработки данных. Хорошо понимает, как работает Spark и умеет его готовить. Хорошо владеешь одним из языков программирования (например, Python или Scala). Самостоятельность и проактивность — ты не ждешь постановок, а предлагаешь решения. Желание разбираться в бизнес-логике и создавать продукт, а не просто писать код. Будет плюсом: Опыт работы с Airflow. Опыт анализа данных с использованием SQL. Знание инструментов мониторинга и автоматического контроля качества данных (Data Quality, Data Contracts). Опыт построения Data Lineage и работы с Data Catalog. Понимание подходов к персонализации, сегментации или real-time аналитике. Понимание, как работает S3 хранилище. Почему это круто Масштаб: миллионы пользователей, миллиарды событий, сотни интеграций. Рост: CDP — стратегическое направление, растем быстро и даем расти команде. Свобода: минимум бюрократии, максимум ответственности. Видимый результат: все, что ты делаешь, влияет на продукт, коммуникации и рекламу 2ГИС. Хочешь строить внутренний «мозг» 2ГИС? Присоединяйся к команде CDP.

Опыт оптимизации LLM-инференса с SGLang, vLLM или TensorRT-LLM. Работа с большими моделями на распределённой GPU-инфраструктуре.

zerohash is looking for a Graph and Data Engineer to build identity-resolution pipelines and a canonical knowledge graph for secure data classification and authorization.

Location: United Kingdom; Spain Workplace: remote Help Us Build The Future of Travel At Airalo, we're making it easier for people to stay connected wherever they travel. As the world's first eSIM store, we help millions of travelers access affordable mobile data in 200+ countries and regions around the world. Today, we're a team of 400+ people across 60+ countries, building a product used by travelers every day. We've grown quickly, but we've worked hard to keep what matters: trust, ownership, and the freedom for people to do great work without unnecessary layers or bureaucracy. We're fully remote by design, genuinely global, and united by a shared mission to make travel simpler for everyone. Your Next Destination Location: Remote, anywhere in Spain or the UK. Contract: Spain: Full-time, permanent contrato indefinido via Deel (our employer of record in Spain) UK: Full-time, permanent Benefits: Learn more about our benefits here in this link - https://airalo-public.notion.site/Benefits-25396a97ffca81fb9bc1f0be479f1be3?pvs=74  Languages: English is our main working language day to day, so you'll need to be comfortable communicating in it both in meetings and async. Curious what it's actually like to work at Airalo? We've put together a guide for each of the hubs we hire from most, covering our benefits, remote culture, employment setup, and what our team values most: Life at Airalo · España: https://airalo-public.notion.site/life-at-airalo-espana Life at Airalo · United Kingdom: https://airalo-public.notion.site/life-at-airalo-united-kingdom What You'll Do: Design, implement, and maintain data models using dbt within our cloud data warehouse, ensuring performance, cost efficiency, and alignment with business logic Build and maintain finance and revenue data models, including order-to-revenue flows, recognition logic, and reconciliation against source-of-truth financial systems, that finance and commercial teams can rely on for reporting and forecasting Own the order-to-revenue pipeline: ensuring every order correctly and traceably resolves into recognized revenue, with clear handling of refunds, adjustments, currency conversion, and edge cases Collaborate with other analytics engineers and data engineers to build and scale ELT workflows that ensure data freshness and reliability for mission-critical reporting Partner with Finance and the ERP systems integrator to validate that data models and definitions carry over correctly from legacy systems into the new ERP/EPM platform Implement robust testing, documentation, and monitoring practices, acting as a steward of data quality and governance across the platform, with particularly high attention to detail in domains where small errors compound (e.g., revenue, finance) Collaborate cross-functionally  to translate complex business questions into scalable, production-ready data artifacts Partner with the data analysts and domain leadership to drive the rollout and adoption of self-service analytics, ensuring business users can trust and independently explore the data models you build Contribute to the evolution of our modern data stack, bringing curiosity and pragmatic judgment to new tools and approaches Must Haves: Bachelor's/Master's degree in a quantitative field (statistics, economics, mathematics, computer science, or equivalent work experience) Hands-on experience building finance and/or revenue data models, ideally including order-to-revenue or billing-to-revenue pipelines, revenue recognition logic, or financial reconciliation (ERP, billing platforms or similar) 5+ years in analytics engineering, data engineering, or analytics roles with significant modeling responsibilities Strong SQL and data modeling skills, with demonstrated experience designing robust, scalable dimensional models Exceptional attention to detail, especially when working with numbers that feed financial reporting, reconciliation, or external disclosure Significant hands-on experience with dbt (Core or Cloud) for managing transformation logic, testing, and documentation Familiarity with cloud data platforms (BigQuery) and data orchestration tools (Airflow, Dagster, or similar) Experience working with modern BI platforms and semantic layers-LightDash experience is a strong plus Track record of partnering with analysts and business stakeholders to translate requirements into well-structured data products Strong communication skills, with the ability to explain complex data concepts to diverse audiences Proactive self-starter who thrives on solving ambiguous problems and takes ownership from concept to production Nice to Have: Experience in marketplace, telecom, or travel/mobility businesses Background in B2C product companies with high-volume event data Experience building analytics engineering capabilities in low-maturity data environments Previous experience at a scale-up that went through hypergrowth Experience defining and governing company-wide KPIs and metric frameworks Experience working alongside or within a finance function (e.g., supporting FP&A, revenue accounting, or audit processes) on data accuracy and traceability Why People Join Us 🇪🇸 Why people join us in Spain We started Airalo to make staying connected effortless, wherever you are in the world. Today, millions of travelers rely on our eSIMs, and many of the people building the product were customers first. Our team is united by a shared belief that great work happens when people are trusted to own what they do. As Airalo continues to grow, so do the opportunities to learn, take on new challenges, and make a real impact. For many of our teammates in Spain, it's the combination of stability, flexibility, and genuine work-life balance that makes Airalo feel like home. 🇬🇧 Why people join us in the UK We started Airalo to make staying connected effortless, wherever you are in the world. Today, millions of travelers rely on our eSIMs, and many of the people building the product first discovered us as customers. Our team spans 60+ countries, but what people often notice quickly is how work actually feels here. There's trust to own what you do, space to focus without constant layers of process, and a clear sense of what you're responsible for from day one. As Airalo continues to grow, people tend to stay for a mix of things: the chance to work on a product used globally, the autonomy to shape how they work, and the opportunity to keep taking on new challenges without getting stuck in one lane. Before You Hit Apply By applying, you acknowledge and agree that, in case of successful application, Airalo may request to run background checks as a condition for entering into an agreement with you. Rest assured that these checks will only occur upon your prior consent and at the end of the selection process, and will be strictly limited to what is allowed under the laws that are applicable to you. All data that you share or that we collect in connection with such checks will be processed in accordance with our Privacy Policy, available here: www.airalo.com/more-info/privacy-policy?srsltid=AfmBOooBT0rXAj1FaNelZ3VfN0wvhwzvAoxdtHnOKSVETpiSjiXVuycy    We sincerely thank all applicants in advance for submitting their interest in this opportunity. Airalo is an equal-opportunity employer and values diversity, equity & inclusion. We do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We are committed to providing reasonable accommodations upon request for individuals with disabilities throughout our job interview process. At Airalo, we believe in roaming-free recruitment. Just as we provide clear connectivity for travelers, we provide clear salary ranges for our candidates. 🌍 This role is remote and open to candidates across our supported locations in Europe. The range below reflects the full salary range for this role across the countries where it's available: 📍 UK: £74,800 – £112,200 📍 Spain: €77,600 – €116,400 📍 Germany: €76,000 - €114,000 Your Home Destination: 🛫 Local market rates and cost of living vary. Your specific range within this band depends on where you're based, and there's room to discuss what's right for the person and the role. We'll walk through your range together on your first call with our Talent team so we're aligned for takeoff! 🎒✨

Проектировать и развивать Data Lakehouse платформу. Разрабатывать ETL/ELT пайплайны на базе Spark, DBT и Trino.

- Проектирование архитектуры хранилищ, моделей данных и стратегий партиционирования. - Разработка DAG, кастомных операторов и интеграций на Python с использованием Apache Airflow.

We’re looking for a specialist to help develop the data infrastructure behind our mobile games, build reliable data models, and provide teams with high-quality analytics to support product decisions. - 2+ years of experience working with data.

Создавать ИИ-агентов с использованием LangChain и LangGraph. Глубокое понимание основ Python: типы данных, функции и классы, обработка исключений, итераторы и генераторы, context managers, модуль typing, внутренняя структура объектов и управление памятью.

Опыт разработки агентов на Langraph по паттерну ReAct; Опыт разработки ML-моделей от 3 лет.