Данные и ML вакансии - удалённо

Задачи: — Чтение и запись коротких предложений — Прослушивание и сравнение аудиоклипов — Проверка произношения, ясности и естественности — Выявление неясных аудиозаписей — Следование предоставленным инструкциям и своевременная сдача заданий Требования: — Родной или свободный уровень владения хотя бы одним европейским языком (немецкий, французский, итальянский, испанский, португальский, нидерландский, шведский, польский и другие) — Понимание инструкций на английском языке — Чёткое и естественное произношение — Наличие смартфона или компьютера со стабильным интернет-соединением — Возможность записывать аудио в достаточно тихой обстановке — Ответственность и способность выполнять задания самостоятельно — Профессиональные навыки актёра озвучивания не требуются — Подходят начинающие Условия: — Полностью удалённая работа на неполный рабочий день — Гибкий график участия в проектах — Простые задания, которые можно выполнять из дома — Чёткие инструкции и поддержка команды — Возможность участия в будущих голосовых проектах Процесс подачи заявки: — Заполнить короткую форму заявки по ссылке — При необходимости предоставить краткий голосовой образец — Получить инструкции перед началом проекта Обратите внимание: команда регулярно рассматривает заявки. Для участия в проектах на малайском языке необходимо выполнить все шаги заявки.

Задачи: — проектирование и масштабирование корпоративного хранилища данных — интеграция источников и консолидация данных из учётных систем (в том числе SAP HCM/SAP BW) — проектирование витрин данных на основе требований бизнеса и топ‑менеджмента — внедрение процессов Data Quality и Data Governance для обеспечения качества данных Требования: — опыт в области DWH, ETL или Data Engineering от 3 лет — практический опыт проектирования и развития хранилищ данных — уверенное владение PostgreSQL, MS SQL, Python (для обработки данных, интеграций и автоматизации), Apache Airflow, Kafka, Git — приверженность подходу Data Governance — умение самостоятельно принимать, документировать и внедрять решения в промышленную эксплуатацию — будет преимуществом понимание принципов хранения данных в SAP HCM/SAP BW, требований BI‑систем к структуре и качеству данных, а также основных метрик HR‑отчётности.

-Участвовать в разработке AI-решения для анализа документов, изображений и текста (KYC-верификация), включая работу с Computer Vision (CV), OCR и NLP. -Подбирать и адаптировать модели под бизнес-задачи.

Ищем исследователя, который будет разрабатывать стратегии дэска и доводить их до живой торговли. Разрабатывать стратегии на споте и бессрочных фьючерсах: рыночно-нейтральные и направленные.

- Оптимизация и масштабирование LLM-инференса (SGLang, vLLM, TensorRT-LLM). - Работа с моделями до 1T+ параметров и распределённой GPU-инфраструктурой.

Разрабатывать и сопровождать потоковые приложения на Apache Flink: подключать новые домены и типы событий, реализовывать дедупликацию, идемпотентную обработку, обогащение через Redis и маршрутизацию невалидных событий в DLQ; участвовать в восстановлении и дозагрузке данных;

• Опыт работы в сфере AI/ML от 5 лет.

• Уверенное знание SQL и Python. • Опыт работы с Apache Airflow.

Develop dbt data models, dashboards, metrics, and automation processes for the revenue field team and revenue analysts. Build and maintain critical reporting data models that power external merchant reporting.

Location: Remote About the Team: Netlify’s Data team helps the company understand and improve the full product-led growth journey, from activation and engagement through conversion, retention, and monetization. We partner closely with Product, Engineering, and Growth to uncover opportunities, evaluate investments, and understand what drives customer and business outcomes. We’re hiring a Senior Staff Data Scientist to deepen how data shapes our product and growth strategy. You’ll develop an end-to-end understanding of the PLG journey, proactively identify opportunities, and turn complex data into hypotheses, experiments, and recommendations that influence where we invest and what we build. This is a highly autonomous role for someone who can move from identifying an important question to shaping the approach, defining success, and driving toward an answer. What You'll Do: Own the analytical understanding of Netlify’s PLG performance across activation, engagement, conversion, monetization, and retention, identifying opportunities before they become requests Partner with Product and Engineering leadership to turn behavioral insights into product bets, defining what to test, how to measure it, and what the results mean Lead experimentation from hypothesis through decision, including study design, methodology, success metrics, guardrails, analysis, and recommendations Apply statistical rigor where it matters while recognizing when there is enough signal to make a decision and move forward, and help teams develop that same judgment Build scalable analytical systems like semantic models, trusted metrics, proactive monitoring, and AI-powered agents  that surface opportunities without waiting to be asked Use AI to investigate faster, automate recurring analytical work, and test more hypotheses without sacrificing the judgment that makes the output useful Identify gaps in measurement, event instrumentation, and metric definitions, and partner with Data and Product Engineering to close them Serve as a trusted analytical partner to PLG leadership, using evidence and product judgment to influence investment decisions and roadmap priorities Influence product strategy through evidence, product instincts, and a clear point of view, without relying on formal authority to do it What You'll Bring: 8+ years of experience in product analytics, growth analytics, or data science, with a track record of high ownership and measurable impact on PLG or consumer product outcomes Deep understanding of product and growth dynamics across activation, engagement, conversion, monetization, and retention Demonstrated ability to turn behavioral data into product hypotheses and carry them from insight through experimentation and measured outcomes Deep experimentation expertise: study design, statistical reasoning, causal inference, and the judgment to know when an experiment has told you what you need to know Experience building analytical systems such as metrics layers, monitoring frameworks, or semantic models that teams can rely on over time An AI-native approach to analysis: you use AI tools actively to accelerate investigation, automate repetitive work, and surface patterns faster A track record of influencing senior stakeholders and product direction through analytical reasoning, clear recommendations, and sound judgment Comfort operating with significant autonomy in ambiguous problem spaces, including determining which questions are most important to answer Strong written and verbal communication skills in distributed environments, with the ability to make complex findings clear and recommendations actionable This Role is a Great Fit If: You're energized by finding the opportunity before anyone thought to ask - proactive discovery is how you naturally work, not a mode you shift into You think like a product person who happens to be exceptionally rigorous with data, not a data person who occasionally weighs in on product You thrive when the problem isn't handed to you - you'd rather define the question worth asking than answer the one that landed in your queue You get excited about building systems that keep working after you've moved on to the next problem You're comfortable making a call with imperfect information and can articulate clearly why you made it You enjoy being a thought partner to senior leaders - shaping how they think about investment and opportunity, not just supporting decisions already made You work well in a remote-first, async environment where written clarity and self-direction matter more than proximity You're drawn to roles where the measure of success is outcomes, decisions made, bets tested, metrics moved, not volume of output produced Applying Not sure you meet 100% of our qualifications? Please apply anyway! When applying please include: A resume or short listing of your job history & skills (link to a LinkedIn profile would be fine). We appreciate a cover letter explaining why you would enjoy working in this role at Netlify to get to know you a bit better, though this is not required and will not impact your application. Our mission is to “build a better web” and that cannot be done without a diversity of skill sets, backgrounds and thoughts. Of everything we've ever built at Netlify, we are most proud of our team. Netlify is an Equal Opportunity Employer. We are devoted to building a team of people with diverse backgrounds and lifestyles. Driving equality empowers our team, enables us to innovate, and helps us maintain a more inclusive environment. We don’t discriminate against employees or applicants based on gender identity or expression, sexual orientation, religion, age, race, military/veteran status, citizenship, pregnancy status, or any other differences. If we can do anything to provide a better interview, i.e. accommodate a disability, then please let us know by emailing accommodations@netlify.com . About Netlify Netlify is the most popular way to build, deploy, and scale modern web applications, empowering everyone from fast moving solo developers to enterprise teams. Millions of developers and organizations rely on Netlify as their platform of choice for composing web applications that are production ready, performant, and flexible. Now, as we embrace the next era of software development, we are embedding the same fluid, intuitive experience into the Agent Experience (AX), making it just as simple for intelligent agents to understand, interact with, and act on our platform as it is for developers. Whether your user is human or machine, Netlify ensures the path from idea to URL is seamless, fast, and deeply reliable. We are a Series D company that has raised over $200M from investors such as Andreessen Horowitz, Kleiner Perkins, EQT, Bessemer, BOND, and Menlo Ventures. As a fully distributed company, we aim to create a company culture where the best idea can come from anywhere and strive to be thoughtful, compassionate, and collaborative in our work. If this sounds like something you’d like to be part of, we’re excited to connect with you! At Netlify, we are committed to a compensation philosophy that prioritizes fairness and equity, positions our employee compensation competitively in the market, recognizes and rewards performance, and takes a comprehensive approach to our rewards package. We anchor our compensation philosophy on a market-based approach, therefore salary ranges may differ depending on the labor cost in a particular location. The salary provided is in addition to robust benefits and participation in Netlify’s equity plan. Our hiring range for this role is targeted at $204,000 - $275,000 for most US-based locations.  Candidates outside the US or in premium markets should consult with their Talent Acquisition partner regarding location-based ranges, as they may be higher or lower than the average US range listed. The starting pay will be determined based on multiple factors, including expertise and skills, market demands, experience, internal equity, and applicable geographic location. These compensation packages and ranges are subject to change and may be modified in the future.

Миграция в целевую архитектуру данных. Реализация и систематизация ETL-процессов согласно требованиям.

Location: Remote - US About the Job: AI-powered workflows are only as good as the customer data underneath them. LaunchDarkly helps engineering teams ship software faster and more safely through feature management, experimentation, and AI delivery tooling. As our GTM Data Governance Manager (MDM), you will  set the rules that make our core customer data (accounts, contacts, subscriptions, and users) accurate, consistent, and trusted across Salesforce, our billing and finance systems, marketing automation, product usage data, and the data warehouse. This is an individual contributor role with real ownership of the data model and its standards. You will partner with Data Engineering, GTM Systems, Finance Systems, Legal, and Security to put those standards into production. Your work is the foundation for reliable reporting, accurate territory and segmentation, clean pipeline attribution, and the AI workflows that depend on high-quality data. Responsibilities: Own the MDM roadmap and operating model for the account, contact, and organization hierarchy domains. Define golden record rules: matching, merging, survivorship, and parent/child hierarchies across CRM, billing, product, and support systems. Set data governance standards, including ownership, stewardship roles, definitions, and quality SLAs, in partnership with Sales, Marketing, Finance, and Customer Success. Run the processes for onboarding new data sources, handling change requests, and managing lifecycle events such as mergers, acquisitions, and customer reorganizations. Design and monitor data quality rules, scorecards, and dashboards covering completeness, accuracy, duplication, and timeliness. Drive remediation and report data health, risks, and progress to leadership with clear metrics and business impact. Specify integration patterns and acceptance criteria across Salesforce, the data warehouse, and enrichment providers, and work with Data Engineering and GTM Systems to build them. Recommend build vs. buy for MDM, identity resolution, enrichment, and data quality tooling. Provide trusted, well-documented data products for analytics and AI use cases. Act as the data owner with Legal and Security on PII handling, GDPR and CCPA requirements, retention, and access controls. Who You'll Work With: Data Engineering and GTM Systems build pipelines and Salesforce configuration. Legal and Security own privacy and security decisions, and you inform them as the data owner. You own the rules, standards, and acceptance criteria that tell everyone else what "correct" looks like. Qualifications: 8+ years of experience in data management, data governance, data engineering, or analytics, including 2+ years leading MDM or data quality programs. Hands-on experience designing match, merge, and survivorship rules and golden record or hierarchy models, with results you can describe. Experience with Salesforce data models and CRM data quality at scale. Experience building and operating a data governance framework: policies, stewardship models, and SLAs. Ability to translate business needs into data requirements and explain technical tradeoffs to non-technical stakeholders. A track record of delivering cross-functional programs without direct authority. Nice to Have Experience at a B2B SaaS company with a product-led or hybrid sales motion, including mapping product users and workspaces to CRM accounts. Familiarity with enrichment and firmographic data, entity matching approaches, and ML-assisted or LLM-assisted matching and cleansing. Working knowledge of data privacy regulations (GDPR, CCPA) and security frameworks such as SOC 2. Pay: Target pay ranges based on Geographic Zones* for Level 4: Zone 1: San Francisco/Bay Area or NYC Metropolitan Area, Boston, Seattle - $152,900 - $210,210 ** Zone 2: Irvine, LA, Monterey, Santa Barbara, Santa Rosa, Austin, Portland, Philadelphia, Chicago - $137,600 - $189,200 ** Zone 3: All other US locations - $129,900 - $178,640* * LaunchDarkly operates from a place of high trust and transparency; we are happy to state the pay range for our open roles to best align with your needs. Exact compensation may vary based on skills, experience, and location. *Within the United States, our geographic pay zones are defined by counties surrounding major metropolitan areas. **Restricted Stock Units (RSUs), health, vision, and dental insurance, and mental health benefits in addition to salary. About LaunchDarkly: Modern software delivery was supposed to be the foundation for a thriving digital business but reality has proven otherwise. Slow, inefficient development cycles, costly outages, and fragmented customer experiences are preventing developers from building their best software. The LaunchDarkly platform helps developers innovate on new features faster while protecting them with a safety valve to instantly rewind when things go wrong. Developers can target product experiences to any customer segment and maximize the business impact of every feature. And by gradually rolling out new application components, they escape nightmare "big-bang" technology migrations. The LaunchDarkly platform was built to guide engineers to the next frontier of DevOps by: Improving the velocity and stability of software releases, without the fear of end customer outages Delivering targeted experiences by easily personalizing features to customer cohorts Maximizing the business impact of every feature through the ability to experiment and optimize Coordinating the release and optimization of software to provide consistent experiences across mobile platforms and device types Improving the effectiveness and productivity of engineering teams, by providing insights into engineering cadence and stability At LaunchDarkly, we believe in the power of teams. We're building a team that is humble, open, collaborative, respectful and kind. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status. LD invites any applicant to review our written Affirmative Action Plan. To do so, contact People Ops at hr@launchdarkly.com . Do you need a disability accommodation? Fill out this accommodations request form and someone from our People Operations team will contact you for assistance. Your safety matters to us. To protect yourself from potential scams, LaunchDarkly recruiters will only contact you from @LaunchDarkly .com email addresses or via LinkedIn from "Verified Recruiter" accounts. Be cautious of emails from other domains.  Legitimate LaunchDarkly recruiters will never ask for money, fees, or banking information before making a job offer. LaunchDarkly will never make a job offer without conducting a formal interview process. Our interview process does not involve asking detailed questions by email. If you are ever unsure about a communication that you receive, don't click any links—visit Careers | LaunchDarkly directly for confirmed job openings and links to apply. Please notify us of any fraudulent representation by sending an email to careers@launchdarkly.com .

-Проводить исследовательский анализ данных блокчейн сети, включая транзакции, смарт-контракты и адреса. -Идентифицировать аномалии и анализировать их причины.

Задачи: — Руководство командой дата-инженеров (распределение задач, декомпозиция) — Выстраивание рабочих процессов и технологических стандартов — Проектирование и развитие архитектуры обработки и хранения данных — Организация сбора и обработки данных для продуктовых команд и аналитиков — Обеспечение качества и своевременной доставки данных — Поддержка BI-команды в задачах, связанных с данными Требования: — Опыт в Data Engineering от 5 лет — Опыт руководства командой либо замещения руководителя — Навыки проектирования хранилищ данных и пайплайнов обработки — Широкий технический кругозор в инструментах работы с данными — Умение выстраивать процессы и взаимодействовать со смежными командами — Продуктовый подход к работе с данными

Мы приглашаем в нашу команду опытного ML инженера для работы над проектом по созданию системы анализа данных.

Вам предстоит: Проектировать и развивать Data Lakehouse платформу; Разрабатывать ETL/ELT пайплайны на базе Spark, DBT и Trino;

Location: Argentina; Ukraine; Poland; Brazil; Georgia; Colombia Workplace: Remote Solvd Inc. is a rapidly growing AI-native consulting and technology services firm delivering enterprise transformation across cloud, data, software engineering, and artificial intelligence. We work with industry-leading organizations to design, build, and operationalize technology solutions that drive measurable business outcomes. Following the acquisition of Tooploox, a premier AI and product development company, Solvd now offers true end-to-end delivery—from strategic advisory and solution design to custom AI development and enterprise-scale implementation. Our capability centers combine deep technical expertise, proven delivery methodologies, and sector-specific knowledge to address complex business challenges quickly and effectively. We are looking for a Senior Data Engineer to join a small, cross-functional engineering team modernizing a data platform for a global financial services client. You’ll be working hands-on with Snowflake and dbt — designing data models, migrating legacy Oracle-based ETL processes, and contributing to architectural decisions alongside client stakeholders. This is a delivery-oriented role with real ownership. You’ll take responsibility for assigned components end to end, participate in client-facing technical discussions, and work directly with both engineering and business teams to define and implement solutions. WHAT YOU’LL DO - Design, develop, and optimize data models and transformation workflows using Snowflake and dbt. - Contribute to the design and implementation of scalable data architecture covering raw through semantic data layers. - Support modernization of existing Oracle-based ETL and reporting processes. - Investigate and address data performance, consistency, and reconciliation challenges. - Develop and maintain data processing, transformation, and automation solutions using Python. - Participate in solution design discussions and contribute to architectural decisions. - Support DevOps-related activities including deployment, configuration, and operational aspects of the data platform. - Take ownership of assigned technical components and deliverables within the team. - Participate actively in client-facing technical discussions and project meetings. REQUIRED SKILLS & EXPERIENCE - Strong hands-on experience with Snowflake — data transformation, modeling, and performance optimization. - Solid understanding of data modeling principles, data architecture, and scalable data solution design. - Practical experience with dbt for developing and maintaining data transformation workflows. - Proficiency in Python for data engineering, scripting, and automation. - Experience with ETL/ELT processes and modern data pipeline development. - Familiarity with DevOps practices and containerized environments including Kubernetes. - Strong analytical and troubleshooting skills around data quality, performance, and reconciliation. - Good communication skills — able to collaborate directly with client stakeholders and participate in regular technical discussions with US-based teams. - English proficiency sufficient for regular technical discussions with US-based teams. PREFERRED QUALIFICATIONS - Experience with Oracle databases, Oracle ETL, and legacy reporting environments. - Prior involvement in data platform modernization or migration from Oracle to Snowflake. - Experience with Power BI and semantic reporting models. - Snowflake professional certification. - Experience designing and optimizing analytical data models for enterprise reporting. - Experience working with distributed, cross-functional engineering teams. - Background in insurance, reinsurance, or financial services. - Availability for occasional business trips to St. Louis, USA — approximately once every three weeks for one to two days. When you join Solvd, you'll… - Shape real-world AI-driven projects across key industries, working with clients from startup innovation to enterprise transformation. - Be part of a global team with equal opportunities for collaboration across continents and cultures. - Thrive in an inclusive environment that prioritizes continuous learning, innovation, and ethical AI standards. Ready to make an impact? If you're excited to build things that matter, champion responsible AI, and grow with some of the industry’s sharpest minds. Apply today and let’s innovate together. Solvd is an equal opportunity employer.

-Разрабатывать computer vision и machine learning решения для архитектурных чертежей, технических документов, CAD и BIM-данных. -Строить пайплайны, объединяющие растровые изображения, векторную геометрию, структурированные инженерные данные, OCR и ML-модели.