Job
- Level
- Senior
- Job Field
- IT, Data, Security
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Hamburg
- Working Model
- Onsite
Job Summary
In this role, you will develop robust machine learning systems for identity verification, optimize real-time systems, and collaborate closely with interdisciplinary teams on innovative AI models for fraud prevention.
Job Technologies
Your role in the 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.
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Our expectations of you
Qualifications
- MSc or PhD in Computer Science, Machine Learning, Software Engineering, or a related field.
- Starke Python-Kenntnisse.
- Strong expertise in Computer Vision, Deep Learning, ML Pipelines, and MLOps.
- Fluent English skills required.
Experience
- 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.
- Nachweisliche Erfahrung im Aufbau, Deployment und Betrieb von ML-Systemen in Produktionsumgebungen.
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What we offer
- 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.
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Topics You Will Work On
Job Locations
About Your Employer
Nect GmbH
Nect GmbH, based in Hamburg, is a technology company specializing in digital identity solutions. It offers AI-supported methods for online identification, electronic signatures, and secure identity wallets aimed at businesses and public institutions. Since its founding in 2017, Nect has aimed to make digital processes secure and user-friendly.
Description
- Company Type
- Startup
- Working Model
- Full Remote, Hybrid, Onsite
- Industry
- Internet, IT, Telecommunication
Senior Machine Learning Anti-Spoof Expert
- Location
- Hamburg
- Working Model
- Onsite
- Diversity
- Open for all genders
- English Only
- English only required
