4 дня назад
Lead Computer Vision Architect (Manufacturing)
5 800 - 6 500€
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Lead Computer Vision Architect (Manufacturing): Building and scaling a computer vision platform for manufacturing plants with an accent on real-time inference, edge-cloud integration, and production deployment. Focus on designing reusable architectures across global facilities, integrating industrial equipment and cameras, and establishing MLOps for model monitoring and retraining.
Location: Remote and hybrid opportunities are available for hiring in Bulgaria, Georgia, Lithuania, Mexico, Moldova, Poland, and Ukraine.
Salary: EUR 5,800–6,500 gross per month, depending on hiring location and experience.
Company
is delivering a computer vision platform for a global automotive battery manufacturer operating across more than 50 countries.
What you will do
- Lead the architecture and hands-on development of a scalable computer vision platform for manufacturing environments.
- Define repeatable, configurable architecture for deployment across more than 50 production plants.
- Design integrations covering cameras, edge devices, on-premises infrastructure, cloud services, enterprise applications, and manufacturing equipment.
- Guide the full solution lifecycle from discovery and prototyping through production deployment and ongoing support.
- Review implementations, develop technical prototypes, troubleshoot complex issues, and ensure consistency across plant environments.
- Collaborate with business, plant, product, data science, engineering, and infrastructure stakeholders.
Requirements
- Production-grade computer vision experience, including model development and real-time inference.
- Experience taking computer vision solutions from proof of concept through production and ongoing support.
- Strong software architecture, systems integration, and scalable platform design expertise.
- Experience integrating cameras, industrial equipment, edge devices, cloud services, and operational systems.
- Experience with MLOps practices including model testing, deployment, monitoring, versioning, and retraining.
- Understanding of manufacturing operations and Overall Equipment Effectiveness, including availability, performance, and quality.
Nice to have
- Experience deploying solutions across multiple sites or facilities.
Culture & Benefits
- Flexible remote and hybrid work options.
- Technical and non-technical training, internal conferences, and meetups.
- Mentorship and professional development support.
- Health insurance and sports activities.
- Referral program, work anniversary program, and additional vacation days.
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