Senior Computer Vision Specialist

Description

The company builds biometric solutions used in passenger processing and identity verification products, covering face recognition, facial image quality, liveness detection and biometric verification.

This role supports the design, validation, deployment and day-to-day performance of these face biometrics solutions, working with product, engineering and customer-facing teams to keep them reliable, secure and effective in real operational settings.

The role applies computer vision to passenger processing and identity verification products across Vision-Box and the company.

Responsibilities

• Help product and engineering teams design, validate and deploy face biometrics solutions.
• Give specialist advice on facial recognition, liveness detection and biometric verification in passenger processing products.
• Look into and help fix problems affecting biometric performance, matching accuracy, image quality and operational effectiveness.
• Explain how image capture conditions, camera settings and the environment can affect biometric quality.
• Improve biometric solutions through testing, analysis and feedback from operations.
• Work with product, platform and engineering teams so biometric solutions meet customer and business needs.
• Support customer discussions, incident investigations and troubleshooting where biometric expertise is needed.
• Share knowledge and good practice on face biometrics and computer vision.
• Apply your knowledge across several biometric solutions and initiatives.
• Help cross-functional teams deliver products and keep operations running well.
• Provide specialist input so teams can make well-informed decisions about biometric capabilities and solution quality.
• Take part in testing and evaluation to measure how well solutions work and where they can improve.

Requirements

• Practical experience with computer vision applications in biometric solutions, digital identity, passenger processing or security systems.
• Understanding of the constraints and operational factors that affect biometric systems.
• Ability to analyse and solve problems related to biometric performance and solution quality.
• Strong communication skills with technical and non-technical stakeholders.
• A collaborative approach across product, engineering and customer-focused teams.
• Ability to weigh technical quality against business and customer needs.

Conditions

Hybrid working model, with the place of work chosen to suit the individual.

The company is equal-opportunity and values a diverse workforce.

Benefits

• A complete rewards package with competitive pay.
• Global exposure across people, business, footprint, processes and culture.
• Learning on the job, through formal training and everyday work with colleagues.
• A supportive environment that values family and personal life as well as career.
• Trust and reliability as core values in dealings with customers, partners and employees.
• Work on the future of travel with a clear mission.