Job
- Level
- Senior
- Job Feld
- IT, Data, Security
- Anstellung
- Vollzeit
- Vertragsart
- Unbefristetes Dienstverhältnis
- Ort
- Hamburg
- Arbeitsmodell
- Onsite
Job Zusammenfassung
In dieser Position entwickelst du robuste Machine Learning Systeme für die Identitätsverifikation, optimierst Echtzeitsysteme und arbeitest eng mit interdisziplinären Teams an innovativen AI-Modellen zur Betrugsprävention.
Job Technologien
Deine Rolle im Team
- 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.
- 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.
Unsere Erwartungen an dich
Qualifikationen
- MSc or PhD in Computer Science, Machine Learning, Software Engineering, or a related field.
- Strong Python skills.
- Strong expertise in Computer Vision, Deep Learning, ML Pipelines, and MLOps.
- Fluent English skills required.
Erfahrung
- 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.
- Proven experience building, deploying, and operating ML systems in production environments.
Unser Angebot
- 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.
Themen mit denen du dich im Job beschäftigst
Job Standorte
Das ist dein Arbeitgeber
Nect GmbH
Die Nect GmbH mit Sitz in Hamburg ist ein Technologieunternehmen, das sich auf Lösungen für digitale Identitäten fokussiert. Sie bietet KI-gestützte Methoden zur Online-Identifikation, elektronische Signaturen und sichere Identitäts-Wallets an, die sowohl für Unternehmen als auch für öffentliche Institutionen gedacht sind. Seit ihrer Gründung im Jahr 2017 hat Nect das Ziel, digitale Abläufe sicher und benutzerfreundlich zu gestalten.
Description
- Unternehmenstyp
- Startup
- Arbeitsmodell
- Full Remote, Hybrid, Onsite
- Branche
- Internet, IT, Telekom
Senior Machine Learning Anti-Spoof Expert
- Ort
- Hamburg
- Arbeitsmodell
- Onsite
- Diversität
- Für alle Personen geeignet (m/w/d)
- Nur Englisch
- Nur Englisch erforderlich
