Senior Machine Learning Expert

At Nect, we make digitalization tangible and secure. We develop AI- and biometrics-based trust services, including digital identity and signature solutions. Sounds technical? It is - but, more importantly, it’s exciting. Our technologies help public authorities and businesses prepare for the digital future. We are driven by our desire to demonstrate the simplicity and security of digital solutions while creating new opportunities for all.

Are you ready to help shape the digital world of tomorrow with us?

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, Dev Ops teams, and product stakeholders to product ionize 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.

• 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.

• 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.

• 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.

• 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

• Flexible working and a modern working environment
• Scale-up culture with security and vision: digital, innovative, ambitious
• Flat hierarchies and quick decisions: real scope for your ideas
• Personal development: in a growing tech company with a future
• Modern office in Hamburg: central location between the Elbe and Alster rivers with a pleasant working atmosphere
• Health benefits:
  
  company health insurance package
• Team spirit: regular events and exchanges in a motivated environment
• Catering support: subsidy for your daily meals/snacks