aijavapythonawsinfrastructure as codedistributed systemsopensearchcloudformationsearchvector search
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Роль предполагает понятную техническую ответственность за архитектуру поиска и его запуск в production, а AI-сценарий и подробный пакет льгот выглядят сильными сторонами; важно учитывать требование немецкого языка и широкий блок AWS/IaC.
Современные технологии
Чёткая зона ответственности
AI-поиск
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Tech Lead AI-assisted Search (AI): Building and taking multilingual, multichannel search and product-retrieval solutions from prototypes to production with an accent on OpenSearch, vector search, embeddings, and distributed backend architecture. Focus on guiding search engineering in Python and Java, designing AWS CloudFormation infrastructure, and operating retrieval and custom ML pipeline components.
Location: Berlin, Würzburg, Bad Mergentheim, Niedernhall-Waldzimmern, Schorndorf, or nationwide within Germany; hybrid mobile working, usually 3 days per week.
Company
hirify.global develops AI, data, automation, and digital solutions for Würth, a global B2B distributor with hundreds of companies and hundreds of thousands of products.
What you will do
Own the technical quality and architecture of product retrieval and embedding capabilities based on OpenSearch.
Guide developers working on search components in Python and Java, conduct reviews, establish pragmatic standards, and define appropriate solution depth.
Roll out search solutions from prototypes to production across multilingual, multichannel, and multi-application environments.
Develop an Infrastructure-as-Code strategy for AWS and CloudFormation and integrate it with the Platform Team’s environment.
Work hands-on on retrieval and encoding components and take them into production.
Build expertise in operating production ML pipelines for custom models such as learning-to-rank and search understanding.
Requirements
Degree in computer science, business informatics, or a comparable qualification combined with relevant professional experience.
Previous technical responsibility for an engineering team as a Tech Lead, including technical guidance, reviews, and stage-gate decisions.
In-depth practical experience with retrieval and search infrastructure, ideally OpenSearch or Elasticsearch, vector search, and indexing and encoding pipelines.
Experience taking strong prototypes to production search solutions, ideally in international, multilingual environments with multiple channels and applications.
Deep understanding of backend architectures and distributed systems, with practical development experience in Python and/or Java.
Strong AWS knowledge and sufficient Infrastructure-as-Code expertise to design and share responsibility for a robust application strategy, ideally with CloudFormation.
Confident communication in German and English and effective collaboration with international, cross-functional teams, architects, and the Platform Team.
Nice to have
Basic understanding of production ML pipelines for custom models, including training, deployment, and monitoring, for example with Databricks.
Culture & Benefits
Permanent employment contract, flexible working hours, and mobile working.
30 days of annual vacation for full-time employees, with part-time vacation calculated pro rata.
Performance-based bonus, modern equipment, and a secure workplace.
Workation for up to 30 days per year in selected countries and a sabbatical after 3 years of employment.
Onboarding, personalized training, career development programs, health and fitness programs, and company activities.
Relocation cost reimbursement under certain conditions, JobRad, JobTicket, company health insurance, and other employee benefits.
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