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Java developer on the WMS Inbound team at Lamoda, building and maintaining warehouse inbound goods-flow services that ensure product quality and fast time-to-sale. Core stack: Java 17–21, Spring Boot, PostgreSQL, Kafka, Kubernetes.
On-site system administrator at Lamoda's Bykovo distribution center near Moscow, handling user support tickets (Yandex Tracker), troubleshooting office and warehouse hardware (PCs, printers, thermal printers, barcode terminals), and managing Active Directory, MDM, and Ansible-based Linux (Ubuntu) deployments.
Frontend developer on Lamoda's HR-process automation team, building and maintaining the Vue/Nuxt UI of an internal platform used to hire and support operational staff (warehouse and pickup-point workers). Day-to-day: UI development, automated testing, code review, refactoring; team stack is Vue + Golang.
System administrator at Lamoda's Sofyino distribution center in Moscow: maintains the site's PCs, servers and office equipment, installs and configures Windows, macOS, Linux and Office 365, manages user accounts and LAN access, and supports warehouse hardware like barcode scanners and data-collection terminals.
Lamoda (Moscow, on-site) is hiring a Senior Database Platform Engineer/DBA to automate database operations: building self-service tooling and AutoQuery (policy engine, AI/LLM integrations), automating PostgreSQL cluster lifecycle via Terraform/Ansible and CI/CD, and running production PostgreSQL (HA, replication, backups, performance) while advising developers on schemas, indexes and migrations.
Data Scientist on Lamoda's search team, improving e-commerce search algorithms using neural networks and LLMs — query/product attribute enrichment, empty-query handling, personalization, navigation features, and search quality evaluation. Core stack: Python, SQL, Hadoop/Hive/Spark, and ML libraries like PyTorch and CatBoost/XGBoost.
Разрабатывать и поддерживать инфраструктуру для экспериментов, обучения и деплоя ML-моделей в batch и online режимах на CPU/GPU Автоматизировать жизненный цикл модели от регистрации до промышленного сервинга: сборка…
Рекомендации на Главной странице (нейросетевые кандидаты, LLM-сценарии, ранжирование) Рекомендации на странице продукта (похожие товары, "с этим товаром покупают", Metric learning, MTMH-кандидаты) Рекомендация…
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