Senior Machine Learning Expert (all genders) (m/w/d)

Das ist der Job

Über uns Senior Machine Learning Expert (all genders)At Nect, we make digitalization tangible and secure.

Darum lohnt es sich

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. Productionize advanced AI and deep learning models in collaboration with ML scientists and engineering teams.

Collaboration & Technical Contribution Work cross-functionally with Product, Engineering, Infrastructure, and Security teams.

Fluent English skills required; German is a plus.What we offer you:Flexible working and a modern working environmentScale-up culture with security and vision: digital, innovative, ambitiousFlat hierarchies and quick decisions: real scope for your ideasPersonal development: in a growing tech company with a futureModern office in Hamburg: central location between the Elbe and Alster rivers with a pleasant working atmosphereHealth benefits: company health insurance packageTeam spirit: regular events and exchanges in a motivated environmentCatering support: subsidy for your daily meals/snacksReady to help shape digital identity in Europe?Then apply now - we look forward to hearing from you! (Inhalt entfernt) 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?You are responsible for: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.

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.

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.

Participate in architecture discussions and technical decision-making. Help drive best practices in MLOps, scalability, and system reliability.

You bring with you:Master's degree or PhD in Computer Science, Machine Learning, Software Engineering, or related field. 5+ years of software engineering experience, including at least 3 years in machine learning engineering.Strong proficiency in Python and backend development.Experience building and deploying production-grade ML systems in cloud environments.Experience with biometrics and forensic/media data (image, video, audio), including systems for face recognition, selfie verification, voice (audio) analysis, and ideally deepfake detection.Hands-on experience with distributed systems and microservices architectures.Strong understanding of the machine learning lifecycle and MLOps practices.Experience deploying models via REST APIs or real-time inference services.Familiarity with SQL databases.Strong problem-solving mindset and excellent communication skills.