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Senior Computer Vision Engineer
Arabian Agile Professionals. Develop and optimize computer vision models running on edge devices .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Expertise in developing and optimizing computer vision models for edge devices, with a strong focus on video processing and neural network optimization to enhance operational efficiency in the food production sector.
Highest-signal resume keywords
Computer Vision EngineeringMachine Learning EngineeringEdge Computing DeploymentsVideo Processing FrameworksNeural Network Optimization
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Computer VisionMachine LearningEdge ComputingVideo ProcessingNeural NetworksModel OptimizationData AnalysisSystem ArchitectureOperational EfficiencyProductivity Analysis
Soft Skills
Problem-SolvingCollaborationAnalytical Thinking
Industry Keywords
Food ProductionOperational InefficienciesVision PipelinesClient InstallationsJordanUAE
About the role
Key responsibilities & impact- Develop and optimize computer vision models running on edge devices
- Analyze video feeds to identify operational inefficiencies in food production settings
- Collaborate on system architecture to improve processing speed and accuracy
- Deploy and maintain vision pipelines across client installations in Jordan and the UAE
- Dive into the existing edge-based computer vision system and align the models with clients' operational environments in the food sector
- Ship initial optimizations to help restaurant and factory owners locate productivity losses
Requirements
What you’ll need- Demonstrated experience in computer vision and machine learning engineering
- Practical background working with edge computing deployments
- Familiarity with video processing frameworks and neural network optimization
- Strong problem-solving skills and an interest in operational efficiency
Benefits
Comp & perks- Permanent employment
- 40 hours/week
- 24 days of annual leave
- Work from home with flexible working hours
- Fully remote arrangements
- Home office setup
- Dedicated mentoring sessions
- Company stock options