Senior Machine Learning Expert (all genders)

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 this 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. 

We are excited to start a conversation with you. 

Your Responsibilities 

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.  

Your profile 

•  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.  

  

Tech Stack 

• Python  
• Flask, Gunicorn  
• TensorFlow, PyTorch, ONNX, PaddlePaddle  
• Docker  
• PostgreSQL  
• GitLab CI  
• REST APIs  

What We Offer 

• Work on impactful AI systems serving millions of users globally.  
• Access to cutting-edge technologies in biometrics, computer vision, and fraud prevention.  
• Flexible hybrid or remote working model within Germany.  
• High ownership, fast decision-making, and a collaborative engineering culture.  
• Competitive compensation and professional growth opportunities.  

 

If you are passionate about scalable AI systems, computer vision, and real-world machine learning applications, we would love to hear from you.