10 дней назад
Lead AI Edge, Devices & Mobile Engineer
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Lead AI Edge, Devices & Mobile Engineer (AI/mobile/edge): Building and scaling AI-powered mobile applications and reusable AI solutions for Android, iOS, and Windows devices with an accent on edge deployment, machine learning pipelines, and production-ready AI services. Focus on designing GenAI, computer vision, predictive analytics, and recommendation experiences while ensuring performance, reliability, security, observability, and scalability.
Location: On-site in Kraków, Poland
Company
is a science and technology company working across life sciences, diagnostics, and biotechnology through more than 15 operating businesses.
What you will do
- Define and drive the technical vision for AI-powered mobile applications across Android, iOS, and Windows.
- Design, develop, and deploy AI/ML and Generative AI solutions for edge and mobile devices.
- Build scalable machine learning pipelines and production-ready AI services.
- Define device integration patterns and deployment approaches for reusable, industrialized edge AI solutions.
- Mentor software engineers and promote engineering excellence.
- Collaborate with product managers, UX designers, architects, and business stakeholders to deliver scalable solutions.
Requirements
- 8+ years of mobile application development experience in the IoT or embedded domain.
- Experience developing native and cross-platform applications with Swift, Kotlin, UWP, React Native, and Flutter.
- Ability to deliver high-performance, reliable, secure, and scalable mobile solutions.
- Experience building and deploying AI-powered mobile experiences, including GenAI assistants, chatbots, computer vision, predictive analytics, and recommendation systems.
- Experience implementing observability, logging, telemetry, and performance monitoring for mobile AI applications.
Nice to have
- Experience developing healthcare, diagnostics, life sciences, or other regulated-industry applications.
- Experience with IoT systems, edge AI deployments, wearable technologies, IoT devices, and edge computing.
- Experience with MLOps and mobile model optimization techniques.
Culture & Benefits
- Corporate role within Enterprise AI Solutions, hosted by the Cytiva operating company.
- Opportunity to develop reusable AI patterns and scale AI capabilities across products and workflows.
- Culture focused on continuous improvement, belonging, internal development, and innovation.
- Work alongside product, architecture, AI science, engineering, and operations functions.
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