The role involves consulting prospective clients to propose technical implementations of Jumio's identity verification and risk management solutions. You will lead technical presentations, manage proof-of-concepts, and oversee the customer onboarding process from kick-off to go-live.
Jumio
17 Remote Job Openings at Jumio
Lead the architecture and evolution of backend services for biometrics and machine learning model serving. Collaborate with cross-functional teams to build scalable systems and mentor engineers on best practices.
Develop and maintain advanced machine learning and computer vision models to detect fraud for identity verification. Deploy these models via AWS SageMaker or on-device and collaborate with product managers in an Agile environment.
Design, build, and scale reliable data pipelines on AWS to power machine learning systems and biometric solutions. Collaborate with ML engineers to optimize orchestration workflows and monitor model performance and data drift.
Design and develop end-to-end computer vision models and pipelines for biometrics use cases such as face detection and recognition. Optimize models for low-latency inference and mentor other ML engineers on technical best practices.
Build and integrate ROS/ROS2-based modules to support robotic navigation and data collection workflows. Develop and maintain end-to-end machine learning pipelines for training, evaluating, and monitoring model performance in production.
Manage a portfolio of high-value enterprise accounts to maximize product value and ensure customer satisfaction. Drive substantial revenue growth by identifying new use cases and executing long-term account strategies.
Deploy and manage secure, scalable web services in public cloud environments while owning all operational aspects including monitoring and reliability. Lead technical projects and mentor junior engineers to improve platform observability and productivity.
Translate global regulatory complexity into commercial advantages to drive pipeline and revenue growth across regulated markets. Lead the regulatory narrative and GTM execution to position the company as a trusted authority in identity intelligence and compliance.
Design and implement scalable ML infrastructure for model deployment, serving, and optimization to improve inference performance and cost. Drive the continuous improvement of ML asset lifecycle management and governance capabilities within a cross-functional team.
Drive growth by identifying and acquiring new enterprise customers across various industries to eliminate identity fraud. Manage the full sales cycle from prospecting and pipeline development to contract negotiation and closing.
Drive growth by identifying and acquiring new enterprise customers through the management of the full sales cycle and contract negotiation. Collaborate with pre-sales and marketing teams to deliver effective solution presentations and increase market share.
Lead the design and development of computer vision and biometric systems, including face recognition and quality assessment. Own the end-to-end machine learning pipeline from data ingestion and synthetic data generation to production deployment on AWS.
The Business Development Representative is responsible for researching companies and communicating Jumio's value proposition to generate qualified sales opportunities. They will manage inbound and outbound campaigns while collaborating with the sales and marketing teams to accelerate the sales cycle.
The Vice President of Finance will partner with the CFO to lead financial planning, analysis, and budgeting, overseeing corporate forecasting, reporting, and strategic modeling across all departments. This role is responsible for leading the finance team, driving operational efficiency through process improvements, owning board reporting, and establishing KPIs to monitor business health.
The role involves leading the design and development of computer vision systems for biometrics, including rigorous fairness analysis and benchmarking of models. Responsibilities also include owning end-to-end ML pipelines from data ingestion to deployment and optimizing models for low-latency inference.
Design and implement machine learning and deep learning algorithms focused on data extraction. Collaborate with engineers and product managers in an Agile environment to ensure robust solutions for ID verification.
