5 дней назад
Systems Architect (Edge AI/ML)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Systems Architect (Edge AI/ML) (Industrial AI/ML): Defining and guiding architectures for scalable, reliable, secure AI/ML systems deployed on edge devices and platforms with an accent on real-time inference, model lifecycle management, sensor integration, and resource-constrained environments. Focus on designing interoperable online, offline, and hybrid deployments, aligning edge solutions with safety and industrial cybersecurity standards, and enabling condition monitoring, vision-based sensing, anomaly detection, and predictive insights.
Location: USA-WI-Corporate Headquarters
Company
is a global industrial company that develops loading dock, door, safety, efficiency, and digital solutions for industrial environments.
What you will do
- Define reference architectures, design patterns, and standards for deploying AI/ML models on edge devices and platforms.
- Establish approaches for data ingestion, feature pipelines, model inference, performance optimization, monitoring, updates, and lifecycle management.
- Enable edge AI capabilities including condition monitoring, vision-based sensing, anomaly detection, and predictive insights.
- Guide architecture for edge compute constraints, sensor integration, real-time workloads, and interoperability across devices, mobile applications, cloud platforms, and enterprise systems.
- Define secure-by-design and safety-aligned principles and participate in architecture reviews covering risk, resilience, quality, and compliance.
- Provide technical leadership, mentorship, and architectural guidance across product, software, data, cloud, manufacturing, service, and mobile application teams.
Requirements
- Bachelor’s degree in Computer Science, Software Engineering, Electrical Engineering, Data Science, or a related technical field.
- 8+ years of experience delivering AI/ML-enabled solutions, including model deployment in edge or resource-constrained environments.
- Strong knowledge of AI/ML architecture, model lifecycle management, and real-time edge inference.
- Experience balancing performance, accuracy, latency, and resource constraints across sensors, devices, edge platforms, mobile applications, and cloud services.
- Strong communication, stakeholder influence, and cross-functional collaboration skills.
- Experience with industrial, connected, or safety-critical systems is preferred; a master’s degree is also preferred.
Nice to have
- Familiarity with industrial automation, IoT ecosystems, or computer vision.
Culture & Benefits
- Opportunity to shape the safe and effective application of AI/ML in real-world industrial environments.
- Medical, dental, and vision coverage, plus life and disability insurance.
- Well-being program with an opportunity to receive an additional day off.
- 401(k) retirement savings program with company match and profit sharing.
- Paid holidays, vacation time, and personal and sick days.
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