Senior Machine Learning Expert (all genders)

HR New Media GmbH; Hamburg; Hybrid; EUR 90.000 - 130.000; Vollzeit

Benefits dieser Stelle

Flexible working

Modern Hamburg office

Health insurance

Team events

Meal subsidy

Zusammenfassung

Nect is seeking a Senior Machine Learning Anti-Spoof Expert to design, build, and deploy large-scale ML systems powering identity verification. You will collaborate with ML scientists, backend engineers, DevOps, and product stakeholders to productionize models used by millions daily.

You bring 5+ years of ML engineering, expertise in computer vision and biometrics, and strong Python skills. The role focuses on scalable ML infrastructure, MLOps practices, and high-throughput production

Qualifikationen

• 5+ years of Machine Learning Engineering experience.
• Experience with fraud prevention and anti-spoofing.
• Experience with biometric media data (images, videos).
• Strong Python skills and production ML experience.
• Fluent English required.

Aufgaben

• Design, develop, deploy, and optimize ML systems for identity verification at scale.
• Productionize AI and deep learning models with ML scientists and engineers.
• Improve model performance, reliability, and inference efficiency.
• Build robust ML pipelines for training, deployment, monitoring and retraining.
• Deploy models via REST APIs and real-time inference services.

Kenntnisse

Python

ML Engineering

Face recognition

Biometrics

Fraud detection

MLOps

Computer Vision

Ausbildung

MSc or PhD in Computer Science / ML / Software Engineering

Tools

REST APIs

CI/CD

Cloud platforms

Jobbeschreibung

Senior Machine Learning Anti-Spoof Expert (all genders)

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?

About the role:

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.

You are responsible for:

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.

You bring with you:

• 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

What we offer you:

• 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