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Computer technician • glendale az
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Computer Vision Manager
VirtualVocationsPeoria, Arizona, United StatesComputer Manager
NucleusTeqPhoenix, Arizona, United StatesComputer Support Specialist
U-HaulPhoenix, Arizona- Promoted
Technician
Vac2Go LLCPhoenix, AZ, US- Promoted
Technician
Marten TransportPhoenix, AZ, UStutor - Computer Programming
BUKIPhoenix, AZ, US- Promoted
Technician
FiOptixPhoenix, AZ, USComputer Technician
Data DoctorsPhoenix, USHybrid Electrical Engineering & Computer Science Patent Agent
Wallman Unlimited CompanyPhoenix, Arizona, United StatesComputer Scientist
JT4Phoenix, AZ, US- Promoted
Electrical Engineering & Computer Science Patent Agent- Phoenix
Direct CounselPhoenix, AZ, USComputer Engineer II
Arrow ElectronicsArizona,Phoenix,AZ,USProduction Associates - Computer Hardware
Integrity Staffing SolutionsPHOENIX , ArizonaComputer Field Tech Position- Phoenix AZ
BC Tech ProPhoenix, AZ, USA- Promoted
Cable Technician- Telecommunications- Service Technician
DOWN 2 EARTH COMMUNICATIONS LLCGlendale, AZ, USComputer Operator - Mainframe
ExperisPhoenix, Arizona, USPeoria College Computer Science Tutor
Varsity TutorsPeoria, AZ, USComputer Repair Technician
CellairisSun City West, Arizona- Promoted
Technician
Driver ProviderPhoenix, AZ, USElectrical Engineering and Computer Science Associate
Vanguard-IPPhoenix, Arizona, United StatesRelated searches
Computer Vision Manager
VirtualVocationsPeoria, Arizona, United States- Full-time
A company is looking for a Computer Vision Manager to lead a team in developing advanced AI solutions. Key Responsibilities Lead, mentor, and support a team of computer vision and ML engineers Define and execute the technical roadmap for vision-focused initiatives Design and deliver advanced computer vision solutions and integrate them with LLMs and VLMs Required Qualifications 7+ years of professional experience in computer vision, deep learning, or applied machine learning At least 2 years in a management role with experience managing teams or projects Strong hands-on experience with ML frameworks such as PyTorch or TensorFlow Proven track record of deploying production-scale computer vision systems Familiarity with vision transformers and multimodal models