12 beste Stellen als machine learning phd in hamburg – aktuell auf Personalsuche

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machine learning phd jobs near hamburg

Senior Machine Learning Expert (all genders)

NECT GmbH -
Hamburg

Direkt bewerben

Details zur Stelle

Vollzeit

Qualifikationen

CI/CD
Doktorat
Informatik
Master
Datenbanken
Microservices
Machine Learning
Verteilte Systeme
REST
APIs
Kommunikationsfähigkeit
Python

Vollständige Stellenbeschreibung

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?

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:

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.
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/

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