Данные и ML вакансии

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.

Location: Georgian office; Yerevan, Yerevan, Armenia About Lineate Lineate is a US-based international software development company with over two decades of experience. From Intelligent Document Processing(IDP) and Agentic RAG systems to scalable cloud architectures, we turn complex ideas into real, measurable results. We deliver AI-driven custom solutions for FinTech, HealthTech, AdTech, and beyond, empowering businesses to grow smarter, faster, and more efficiently. Our expertise falls into three main categories: Building Custom AI Solutions: Deploying high-impact, AI-enabled technology utilizing IDP, Agentic RAG. Cloud and Data Infrastructure: Optimizing business operations with our data management and cloud computing solutions. Team Augmentation: Providing specialized experts in FinTech, AdTech, and HealthTech to integrate seamlessly and accelerate project timelines. Our goal is not just to build technology, but to build the future operating model for our clients. Product: A US-based real estate and mortgage technology platform that supports the home-buying journey from property search through closing. It combines property search, data integrations, workflow automation, real estate services, and home-buying rewards in a single customer journey. Key Responsibilities Build and maintain reliable, scalable ETL/ELT pipelines and data platform components. Integrate data from multiple heterogeneous sources , including databases, APIs, files, and third-party systems. Clean, normalize, transform, and map messy, incomplete, and inconsistent data , often without reliable unique keys. Develop solutions for record matching, deduplication, reconciliation, and entity resolution across different data sources. Design data models and implement data quality, validation, and monitoring processes. Investigate data discrepancies, troubleshoot pipelines, and continuously improve data reliability and performance. Requirements 6+ years of hands-on Data Engineering experience . Strong Python and SQL skills. Solid production experience with ETL/ELT, data integration, and data modeling . Hands-on experience cleaning and mapping incomplete, inconsistent, or duplicated data from multiple sources . Experience matching records without a reliable common ID , using composite keys, rule-based or fuzzy matching, entity resolution, or similar approaches. Production experience with modern data technologies such as Airflow, dbt, Spark, Kafka, ClickHouse, Snowflake, Databricks, or similar . Strong understanding of data quality and DWH/data platform principles . We offer Freedom to Develop - equal opportunity to learn and grow professionally Clear career and professional path, strong performance management system Social Benefits Package Equipment English lesson Gym membership All the advantages of working in an international IT company Flexible vacation time Fun and inclusive in-person and digital events Lineate is proud to be an Equal Opportunity Employer - We do not hire on the basis of race, colour, religion, creed, gender, national origin, citizenship, age, disability, veteran status, marital status, pregnancy, parental status, sex, gender expression or identity, sexual orientation, or any other basis protected by Georgian legislation. All employment is decided based on qualifications, merit, and business ne ed. Learn more about Lineate at our website: www.lineate .com

разбираться в сложных моделях (от классики до нейросетей). погружаться в бизнес-процессы, проводить независимую оценку качества моделей.

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.

Разработка и обучение моделей машинного обучения для задач NLP и компьютерного зрения; Анализ и обработка данных;

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

Строить и проверять evals для AI-агентов: собирать тестовые наборы, считать метрики качества, искать систематические ошибки модели. Анализировать выходы агентов: распределения признаков по компаниям и отраслям, расхождения между прогонами, аномалии.

Чем предстоит заниматься: Проектировать, поддерживать и оптимизировать ETL/ELT-процессы в Airflow: регулярные инкрементальные загрузки, backfill, cleanup, full-refresh, обработка исторических данных. Нам важно: Уверенный SQL и опыт оптимизации запросов на больших объемах данных.

💎 ОК ищет дата‑инженера для построения и оптимизации ETL‑процессов на базе стека YTsaurus, рефакторинга существующих процессов, выполнения ad hoc‑задач по выгрузкам и подготовке данных с их автоматизацией при необходимости, участия в доработках платформы и фреймворка расчётов, разработки отчётов в Superset, автоматизации процессов с использованием LLM;

— Определить, что мы считаем качеством модели — метрика, горизонт, baseline, калибровка — и довести предикт до этого уровня. — Забрать A/B-тесты пейволлов и свести их с предиктом: тест меряет краткосрочный эффект, а раскатывать надо по долгосрочной выручке.

Location: Paris, France; Marseille, France; Bordeaux, France; Biarritz, France; Brussels, Belgium HEALTH CAN’T WAIT. Not for symptoms to get worse. Not for a six‑month appointment. Not for a system to catch up. But that’s exactly how healthcare works today. You wait, until you can’t. Alan exists to end the wait. Health is a universal right, and we believe this right can only become real when it’s coupled with prevention. We need to stop treating health as something we repair and start treating it as something we build, every day. It’s not solely a question of willpower. It’s the healthcare system itself that needs to work for everyone, in a sustainable way. So we are building the new standard in prevention insurance. Alan is the first company that integrates insurance, prevention, and care into a single, acclaimed user experience. We are on an incredible journey to build a global leading company, with a unique culture https://alan.com/en/careers. We already partner with 40K+ companies of all sizes, serving more than 1M+ members, and have reached €800M+ in ARR. Prevention as the new norm. That's what we're building with our team of 1000+ people. If it speaks to you: we're hiring across France, Spain, Belgium, and Canada. And beyond. ⭐️ THE DATA TEAM - Being part of Alan's data team means you'll have a positive impact on people's health and wellbeing. - We create insights to help our colleagues focus on what is most impactful. - We build features and tools powered by data that directly help our members. - Examples include: - going deep into health consumption patterns, - understanding our product usage, - creating visibility to help our sales team perform, - automating how we reimburse our members, - building products that help our members stay healthy...  We also believe in having a full stack approach: - Each one of us contributes to all 3 aspects of the data spectrum (analytics, engineering, science). This encourages strong ownership and drives impact. - We own our infrastructure. We pride ourselves on a nimble data stack that gives us the flexibility we need. We're mainly using SQL, Python, R, Airflow, Snowflake, and Metabase. - We build in-house tooling to organize our data and serve it to the rest of the company. 🎯 EXPECTED SKILLS AND ABILITIES You would thrive at Alan if most of this sounds like you: - Passionate about owning ambitious problems and developing simple solutions for them - Demonstrated impact during a first successful experience. - Experience or willingness to grow in all 3 aspects of the data spectrum (analytics, engineering, science) -- being specialized in one of these areas is good too! - Proficient in SQL, Python and/or R- Setting a high standard of rigor and precision for yourself, interested in your craft - Great listening and communication skills - Humble, kind, collaborative, and still willing to grow (no matter your seniority!) - Fluent and clear in English, both oral and written (no need to speak French!) For this role we are looking to hire within the C1-E level range https://alan.com/en/careers/a/salary-equity. ⚙️ IMPORTANT NOTE: WE HIRE PEOPLE, NOT ROLES. If you're excited about this opportunity but don't check every box, we'd love to hear from you. Everyone, no matter how underrepresented, should feel free to apply, as it can only bring learnings or success. If you identify yourself as a woman: Did you know that research shows women often apply only when meeting 100% of requirements? Remember, this is just a guide, not a checklist. We'll be thrilled to receive your application! 🔖 Check out our About Alan https://alan.com/about and Career https://alan.com/careers pages, as well as our Medium https://medium.com/alan, blog https://blog.alan.com/ and Glassdoor page https://www.glassdoor.com/Overview/Working-at-Alan-EI_IE1696043.11,15.htm for more info. YOU WANT TO KNOW MORE ABOUT ALAN? - 🙌 Perks & Benefits https://alan.com/en/careers/a/salary-equity: Alaners are provided with a stimulating environment and perks ensuring they are happy, efficient and spend only high-quality time with co-workers. - 🤘 A strong culture https://alan.com/en/about/a/leadership-principles: People joining Alan are often surprised and delighted by our innovative working method. We have a set of cultural values that guide our approach to work 🔄 A quick note about the process Note: While you're applying for a specific area, you may join a different engineering team based on where we think you'll have the most impact. Check out descriptions of other areas here https://www.notion.so/Software-Engineering-Areas-Alan-2c61426e8be7805bacd2cdbc08c32640?pvs=21. #LI-DNP

Design and own the semantic layer and aggregation architecture across clients with 2 to 250 locations each. Build and maintain pipelines from sources like Mindbody, Zenoti, Boulevard, Mariana Tek, Domo, QuickBooks Online, GA4, Google Ads, Meta, and Klaviyo.

-Анализировать бизнес задачи/проблемы заказчика, транслировать их в аналитические задачи/решения для удовлетворения требований заказчика. -Разрабатывать документы бизнес-требований по шаблону, включая изменения (BRD на CR), определять требования к данным.

• Опыт управления командой Analytics/BI/Data от 3 лет.

Design and develop end-to-end data pipelines using Azure Data Factory, SQL, and other Azure services. Implement complex data models, DAX measures, and calculated columns to support reporting.

Предстоит: Разрабатывать и поддерживать ETL/ELT-пайплайны для загрузки и обработки данных из различных источников; Участвовать в миграции существующих процессов загрузки данных на новую data-платформу на базе ClickHouse;

▫️Разработка и развитие модуля Demand Planning. ▫️Проектирование и реализация высоконагруженных алгоритмов прогнозирования спроса.

• Опыт от 5 лет в Quant / ML / DS. • Сильная математическая база.