Job
- Level
- Senior
- Job Field
- Data, Back End
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Hamburg
- Working Model
- Onsite
Job Summary
In this role, you will develop advanced machine learning models for identity verification products, work on optimizing models, and build robust ML pipelines for training and real-time deployment.
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
Education
- Master's degree or PhD in Computer Science, Machine Learning, Software Engineering, or related field.
Qualifications
- Strong proficiency in Python and backend development.
- Starkes Verständnis des Machine-Learning-Lebenszyklus und der MLOps-Praktiken.
- Familiarity with SQL databases.
- Strong problem-solving mindset and excellent communication skills.
- Fluent English skills required; German is a plus.
Experience
- 5+ years of software engineering experience, including at least 3 years in machine learning engineering.
- 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.
- Experience deploying models via REST APIs or real-time inference services.
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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 that you deal with on the job
Job Locations
This is 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 Expert
- Location
- Hamburg
- Working Model
- Onsite
- Diversity
- Open for all genders
