Jumio Software Development GmbH

Qualifications: Relevant professional experience spanning fraud, identity, AML/KYC, digital risk, or a related field, including meaningful customer-facing experience in consulting, technical account management, solutions, professional services, product, or implementation. Strong consultative, analytical, and strategic thinking abilities with a focus on risk strategy and workflow design Project Management skills and the ability to coordinate cross-functional teams from Product, Engineering, Legal/Compliance to deliver outcomes for Jumio customers Ability to distill complex, technical fraud concepts into clear, value-driven narratives for executive stakeholders. Preferred Qualifications: Experience with identity verification, fraud, compliance, fintech, or enterprise software solutions ...

requirements Surface expansion opportunities to the Account Manager with a clear business case grounded in the customer’s current deployment and proven value Support the AM in building the commercial case for expansion — you have the customer relationship and the data; the AM has the commercial motion Identify satisfied customers who could become references, case studies, or advisory board members Skills, Experience and Qualifications: Multiple years of practitioner experience in Fraud, Identity, AML, or Digital Risk Management — you have worked inside a fraud or compliance function, not just sold to one Strong consultative and analytical thinking with a focus on risk strategy and workflow design Ability to distill complex fraud and compliance concepts into clear, value-driven ...

Back to jobs New Machine Learning Engineer Austria (remote) Apply Machine Learning Engineer We’re looking for a Machine Learning Engineer with deep expertise in computer vision and biometrics to lead the design and scaling of face recognition systems in production. You’ll build and train models, and own ML systems end-to-end on AWS. The final job level for this role will be determined following the interview process. What You’ll Do Lead the design and development of computer vision systems for biometrics (face attributes, detection, quality, and recognition) Rigorous fairness analysis and benchmarking of biometric models across various datasets and operating conditions. Architect, train, and optimize models using PyTorch, Tensorflow, and/or JAX Own and evolve end-to-end ML pipelines, from