Senior Machine Learning 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? 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. 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. 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: 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. Fluent
English skills required; German is a plus. 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 Ready to help
shape digital identity in Europe? Then apply now - we look forward to
hearing from you! https://karriere.nect.com/en/