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Чёткая ответственность за AI-продукт в производстве и сфокусированная backend-роль дают заметное техническое влияние, но контракт всего на девять месяцев ограничивает долгосрочную стабильность.
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AI для производства
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior Backend Developer (AI): Building backend services, infrastructure, integrations, and automated workflows that make computer vision models reliable for CCTV-based manufacturing analysis with an accent on .NET/C#, Azure, video processing, and production operations. Focus on designing cloud and edge execution, integrating Qognify with AI analysis, deploying models, and establishing CI/CD, monitoring, logging, and infrastructure as code.
Location: Greater Copenhagen, Denmark
Company
Digital Shopfloor develops digital products that use video and AI to identify production issues, support investigations, and improve manufacturing performance.
What you will do
Design and develop backend services and infrastructure for CCTV AiNomaly.
Determine where AI vision models should run across cloud and local environments, balancing latency, connectivity, security, and operational needs.
Automate video processing, model deployment, inference, and results delivery workflows.
Build and maintain integrations with the Qognify-based Global CCTV solution for retrospective investigations and real-time analysis.
Package, deploy, version, and monitor AI vision models in collaboration with AI vision engineers.
Establish CI/CD, Infrastructure as Code, automated testing, monitoring, logging, documentation, and support procedures for reliable production operation.
Requirements
Strong backend development experience, preferably with .NET/C# and Azure.
Experience designing APIs, integrating systems, and building reliable services.
Practical knowledge of cloud infrastructure, containers, CI/CD, and Infrastructure as Code.
Experience operating production software, including troubleshooting, monitoring, and performance optimization.
Ability to balance long-term architecture with pragmatic delivery.
Collaborative approach and strong communication skills in English.
Ability to make sound technical decisions, explain technical choices, take ownership, and turn discussions into working software.
Nice to have
Experience deploying and running computer vision or machine learning models.
Familiarity with Python, video processing, GPU workloads, or edge computing.
Knowledge of Qognify or similar video management systems, including live video, recordings, and event data integrations.
Culture & Benefits
Work closely with production teams, AI specialists, software engineers, implementation colleagues, platform specialists, and the Global CCTV team.
Shape the technical foundation of a growing product and help scale AI vision across manufacturing sites.
Fixed-term engagement lasting 9 months, from 15 November 2026 to 14 August 2027.
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