Director, Computer Vision Platform & ML Ops

Motorola Solutions

Indianapolis (IN)

Presencial

USD 250.000 - 290.000

Jornada completa

14 días+
Generador de candidaturas

Convierte este puesto en una entrevista — un currículum y una carta de presentación creados pensando en lo que quiere el empleador.

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Ventajas ofrecidas por este puesto de trabajo

Incentive bonus plans
Medical, Dental, Vision benefits
401K with company match
10 paid holidays
Generous paid time off
Employee stock purchase plan
Paid parental & family leave
and more!

Descripción de la vacante

Motorola Solutions is seeking a Director of Computer Vision to lead the technical vision and engineering execution for our platform. You will guide foundational AI infrastructure, scalable MLOps, and performance-driven delivery across edge and cloud environments.

You will manage a distributed organization of 50–100 engineers, shape recruitment, mentoring, and execution strategies, and partner with product to translate complex customer needs into robust technical roadmaps.

Formación

  • 10+ years leadership in computer vision teams building enterprise platforms.
  • Hands-on CV/ML experience and strong architectural vision for AI infra.
  • Ability to define metrics and roadmaps for large-scale impact.

Responsabilidades

  • Lead technical vision and strategy for a unified CV platform across geographies.
  • Drive end-to-end MLOps, scalable training, deployment and monitoring.
  • Mentor senior engineers, recruit and develop top talent globally.
  • Translate product needs into robust technical specs and milestones.
  • Balance build-vs-buy decisions with risk management in AI systems.

Conocimientos

Computer vision leadership
MLOps lifecycle
Executive strategy
Distributed teams
AI performance metrics
Real-time video
Start-up mindset

Educación

Bachelor's degree

Descripción del empleo

Motorola Solutions is seeking a Director of Computer Vision to lead the technical vision and engineering execution for our platform. You will guide foundational AI infrastructure, scalable MLOps, and performance-driven delivery across edge and cloud environments.

You will manage a distributed organization of 50–100 engineers, shape recruitment, mentoring, and execution strategies, and partner with product to translate complex customer needs into robust technical roadmaps.

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