Artificial Intelligence Engineer

Company: Tech5 Location: India (Onsite / Hybrid) Experience: 2–6 years (exceptional applied profiles may be considered beyond years) About Tech5 Tech5 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 Overview Tech5 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 Areas Facial Recognition (end-to-end biometric pipelines) Face detection, alignment, embedding, and matching Robustness across pose, occlusion, illumination, and motion Large-scale biometric matching and template management Performance benchmarking aligned with FRTE, PFT, and IREX Key Responsibilities Applied AI & Model Development Design, implement, train, and fine-tune computer vision and deep learning models for biometric recognition. Improve system performance across challenging scenarios: Masks, helmets, scarves Low-light and night-time imagery Extreme pose, blur, and resolution variance Work 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 / FRR ROC / DET curves Identification and verification accuracy Perform detailed failure analysis (false accepts / false rejects) and drive measurable improvements. Optimization & Deployment Readiness Optimize models for: CPU and GPU inference Memory footprint and latency constraints Support deployment across: On-premise infrastructure Edge devices Scalable backend systems Work closely with engineering teams to ensure benchmark-aligned models are production-ready . Documentation & Collaboration Document experiments, benchmarks, and model behavior clearly. Collaborate with platform, engineering, and product teams to integrate AI models into live biometric systems. Required Skills & Experience Strong background in Computer Vision and Deep Learning . Hands-on experience with PyTorch or TensorFlow (PyTorch preferred). Solid understanding of: CNN-based and modern vision architectures Embedding-based and metric-learning approaches Experience 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 NOT Not 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 Offers Work 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.