Über
We are building an internal identity verification system used to confirm that an individual presenting themselves at an office, facility, or organized event is the same authorized person registered within an organization.
The system focuses on identity consistency, verification accuracy, and drift detection over time, ensuring that a person's verified identity remains stable and reliable across controlled operational scenarios.
This is a verification and validation project only. The work is aligned with access control, compliance, and organizational security use cases.
Responsibilities
• Develop facial identity verification pipelines for person-to-record matching
• Extract and manage facial feature embeddings for identity comparison
• Implement similarity scoring and threshold-based verification logic
• Build landmark-based alignment and normalization processes
• Design validation mechanisms to detect identity drift over time
• Deliver offline, runnable verification and validation scripts
• Contribute to clear technical documentation and system specifications
Technical Skills & Experience
Core Expertise
• Computer Vision and Deep Learning
• Facial identity verification and similarity metrics
• Facial landmarks, geometry, and alignment techniques
Tools & Frameworks
• Python
• PyTorch and/or TensorFlow
• Face embedding models (e.g., ArcFace / InsightFace class models)
• ONNX model export and inference
• Image preprocessing, normalization, and alignment
Engineering Practices
• Reproducible evaluation pipelines
• Offline / no-SaaS execution environments
• Clear, structured technical documentation
Contract duration of less than 1 month. with 30 hours per week.
Mandatory skills: Computer Vision, Artificial Intelligence, OpenCV, Facial Recognition, Machine Learning, Python
Sprachkenntnisse
- English
Hinweis für Nutzer
Dieses Stellenangebot stammt von einer Partnerplattform von TieTalent. Klicken Sie auf „Jetzt Bewerben“, um Ihre Bewerbung direkt auf deren Website einzureichen.