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Account Executives at Jumio are responsible for driving new customer acquisitions, managing sales cycles, and negotiating contracts to establish partnerships with enterprise clients, focusing on identity verification.

Lead design and production of computer vision biometric systems (face detection, quality, attributes, recognition). Build/train models, implement fairness benchmarking, own end-to-end ML pipelines on AWS, optimize for low-latency inference, and mentor engineers.

Build and integrate ROS/ROS2 modules, collect and maintain ML training/test datasets from robots and mobile apps, implement end-to-end ML workflows, analyze data from internal databases, monitor data/model quality in production, and write maintainable Python/C++ code while collaborating across ML, engineering, product, and research teams.

Provide advanced technical support and escalate/resolve customer issues for Jumio's enterprise clients. Troubleshoot APIs and mobile/web integrations, certify customer implementations, produce technical documentation, work with cross-functional teams, and perform standby hours when required.

Design, train, and scale computer-vision models and end-to-end ML pipelines for biometrics (face detection, quality assessment, recognition). Benchmark models, optimize for low-latency inference (quantization, distillation, TensorRT/ONNX), deploy on AWS, and mentor other ML engineers while promoting best practices and fairness awareness.

Manage and grow Jumio's largest enterprise accounts by developing long-term strategies, driving revenue and retention, identifying expansion opportunities, coordinating cross-functional teams, and communicating value propositions to maximize customer satisfaction and account growth.

Lead design and production of computer vision biometric systems (face detection, quality, recognition). Build, train, optimize models (PyTorch/TensorFlow/JAX), design end-to-end ML pipelines (Airflow), ensure fairness, deploy and optimize low-latency inference on AWS, mentor engineers, and drive technical best practices.

Lead design and production of face recognition and biometric CV systems. Build, train, optimize models (PyTorch/TensorFlow/JAX), own end-to-end ML pipelines (Airflow), ensure fairness, deploy low-latency inference on AWS, and mentor engineers.

Lead design and production of face-recognition and biometric CV systems: build, train, benchmark for fairness, curate and synthesize datasets, create end-to-end ML pipelines with Airflow, optimize models for low-latency inference (TensorRT/ONNX/quantization), deploy and scale on AWS, and mentor engineers.

Own and run the customer onboarding journey from post-sale through go-live and early adoption. Create implementation plans, remove blockers, coordinate cross-functional teams, drive time-to-value, ensure go-live readiness and handover to Customer Success, and improve onboarding processes.