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# Senior Machine Learning Anti-Spoof Expert (all genders)

- **Company:** Nect GmbH
- **Location:** Hamburg, Germany
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Computer Vision, Biometrics, Continuous Integration, DevOps, Distributed Systems, Fraud Prevention and Detection, Python (Programming Language), Machine Learning, Azure Machine Learning, Software Engineering, Cloud Platform System, Deep Learning, Model Validation, Reliability of Systems, Backend, Information Technology, Machine Learning Operations, Restful APIs, Microservices
- **Published:** August 1, 2026
- **Apply:** https://www.adzuna.de/details/5804939904

## About the Role

* MSc or PhD in Computer Science, Machine Learning, Software Engineering, or a related field
 * 5+ years of Machine Learning Engineering experience
 * Experience with fraud prevention and detection (on media such as videos and images) and anti-spoofing.
 * Experience working with biometric and media data (images, videos, audio), including face recognition, selfie verification, voice analysis, and ideally deepfake detection
 * Combination of industry experience and a strong research background
 * Strong Python skills
 * Proven experience building, deploying, and operating ML systems in production environments
 * Strong expertise in Computer Vision, Deep Learning, ML Pipelines, and MLOps
 * Fluent English skills required

## Description

We are looking for a highly skilled Senior Machine Learning Expert to design, build, deploy, and optimize large-scale machine learning systems powering next-generation identity verification products. In this role, you will collaborate closely with ML scientists, backend engineers, DevOps teams, and product stakeholders to productionize advanced AI models used by millions of users every day. At Nect, you will have the opportunity to work on state-of-the-art machine learning technologies in biometrics, computer vision, and fraud prevention while helping shape scalable AI infrastructure for real-world applications.

Machine Learning Engineering

 * Design, develop, deploy, and optimize machine learning systems for identity verification products at scale.
 * Productionize advanced AI and deep learning models in collaboration with ML scientists and engineering teams.
 * Improve model performance, reliability, scalability, and inference efficiency.
 * Build and maintain robust ML pipelines for training, deployment, monitoring, and retraining.
 * Optimize real-time inference systems for high-throughput production environments.

Backend & Infrastructure

 * Develop scalable Python-based backend services and microservices architectures.
 * Deploy ML models through REST APIs and real-time inference services.
 * Work with distributed systems and cloud-native infrastructure.
 * Contribute to CI/CD workflows and operational excellence for ML services.

Collaboration & Technical Contribution

 * Work cross-functionally with Product, Engineering, Infrastructure, and Security teams.
 * Participate in architecture discussions and technical decision-making.
 * Help drive best practices in MLOps, scalability, and system reliability.


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