Implement machine learning models as scalable backend services in accordance with our development and security guidelines
Collaborate closely with Data Scientists to take models from prototype to production
Continuously improve and optimize machine learning models in production
Translate customer requirements into effective, scalable ML solutions
Design and implement secure APIs and backend components
Develop and maintain data access layers (e.g., MS SQL, Elasticsearch)
Ensure high standards of quality, performance, and security
Contribute to technical specifications and architecture decisions
Requirements
5+ years of experience with Python and backend development (e.g., APIs, services)
Experience with machine learning models and production deployment
Knowledge of MS SQL and experience working with large datasets
Experience with microservices and container-based architectures
Solid understanding of software design patterns and data structures
Basic knowledge of software security
Experience with C# is a plus
Tech Stack
ElasticSearch
Microservices
Python
SQL
Benefits
Great team spirit – work with colleagues who make collaboration enjoyable and always support each other
A modern DevOps-focused engineering culture with autonomy and room to innovate
The opportunity to shape CI/CD foundations for a scaling SaaS product
Personal development – we support your strengths and give you space to grow professionally and personally
Responsibility & creative freedom – you are encouraged to think ahead, contribute ideas, and help shape our working methods
Comfortable workplace – a modern, ergonomic office in the heart of Bad Säckingen with a rooftop terrace, free parking, and plenty of cozy spots to work or relax
Team culture that connects – game nights, hikes, BBQs, Christmas parties & more; we enjoy spending time together beyond work
Flexible working – our remote-work/home-office policy helps you stay connected and productive when working remotely
Snacks & soul food – fresh coffee, fruit, and snacks are always available, plus free, delicious lunch options from local restaurants