Job Title

Company: Tech5Location: India (Onsite / Hybrid)Experience: 2–6 years (exceptional applied profiles may be considered beyond years)About Tech5Tech5 is a global leader in biometric and digital identity technologies, delivering facial recognition, fingerprint, and multimodal biometric systems deployed across government, border control, law enforcement, and national identity programs worldwide.Tech5’s biometric platforms are engineered for accuracy, scale, and compliance, and are actively evaluated and optimized against international biometric benchmarks, including FRTE, PFT, and IREX, alongside real-world operational deployments.Role OverviewTech5 is hiring an AI Engineer – Biometrics & Computer Vision to work on production-grade biometric AI systems, with a strong focus on facial recognition and identity technologies evaluated under FRTE, PFT, and IREX-style protocols.This is an applied, systems-level role where research, benchmarking, and deployment intersect. The work directly impacts live biometric systems, not academic prototypes.Core Focus AreasFacial Recognition (end-to-end biometric pipelines)Face detection, alignment, embedding, and matchingRobustness across pose, occlusion, illumination, and motionLarge-scale biometric matching and template managementPerformance benchmarking aligned with FRTE, PFT, and IREXKey ResponsibilitiesApplied AI & Model DevelopmentDesign, implement, train, and fine-tune computer vision and deep learning models for biometric recognition.Improve system performance across challenging scenarios:Masks, helmets, scarvesLow-light and night-time imageryExtreme pose, blur, and resolution varianceWork on embedding-based recognition and identity matching systems.Benchmarking & Evaluation (Core Responsibility)Evaluate biometric systems using international benchmark methodologies, including:FRTE (Face Recognition Technology Evaluation)PFT (Performance & Functional Testing)IREX (Iris Exchange / Evaluation–style protocols, where applicable)Measure and analyze performance using:FAR / FRRROC / DET curvesIdentification and verification accuracyPerform detailed failure analysis (false accepts / false rejects) and drive measurable improvements.Optimization & Deployment ReadinessOptimize models for:CPU and GPU inferenceMemory footprint and latency constraintsSupport deployment across:On-premise infrastructureEdge devicesScalable backend systemsWork closely with engineering teams to ensure benchmark-aligned models are production-ready.Documentation & CollaborationDocument experiments, benchmarks, and model behavior clearly.Collaborate with platform, engineering, and product teams to integrate AI models into live biometric systems.Required Skills & ExperienceStrong background in Computer Vision and Deep Learning.Hands-on experience with PyTorch or TensorFlow (PyTorch preferred).Solid understanding of:CNN-based and modern vision architecturesEmbedding-based and metric-learning approachesExperience working with real-world biometric image or video datasets.Ability to translate research papers into deployable, benchmark-aligned implementations.Preferred (Strong Plus)Prior hands-on experience with FRTE, PFT, IREX, or equivalent biometric evaluation frameworks.Experience in facial recognition, iris recognition, or multimodal biometrics.Exposure to large-scale biometric benchmarking or compliance-driven evaluations.Experience with model optimization tools (ONNX, TensorRT, OpenVINO).Publications, patents, or applied research in biometrics / computer vision.What This Role Is NOTNot a generic ML engineering role.Not a data annotation or labeling role.Not a purely academic research position detached from deployment.This role requires precision, rigor, and accountability for benchmarked biometric performance.What Tech5 OffersWork on world-class biometric systems evaluated under international standards.Exposure to FRTE, PFT, and IREX-aligned programs and methodologies.AI work that directly impacts national-scale identity and security systems.Competitive compensation aligned with expertise and contribution.