Machine Learning Engineer
Role details
Job location
Tech stack
Job description
As an intuitive cloud accounting software, we empower founders, self-employed individuals, and small business owners to focus on what truly matters. Our product offers them a smart accounting tool to save time in their daily activities. As a company, we aim for excellence, continuously expand our horizons, and strive for daily improvement of our product and our daily work life. In pursuit of these goals, we rely on our strong culture, innovative spirit, and unwavering passion. In the future, we hope to count you among our dedicated team members
Your role
As a Machine Learning Engineer in our Data Team, you help bring innovative AI systems to life-securely, efficiently, and at scale. Working closely with Data Scientists and Engineers, you'll turn prototypes of LLM-powered copilots, conversational agents, and financial assistants into robust, production-ready services within our SaaS accounting platform. You'll design and maintain the infrastructure that powers these systems, ensuring performance, reliability, and data protection.
Here's how you'll make an impact
- Design and maintain the core infrastructure for agentic AI systems
- Build and operate cloud-native microservices that enable real-time interaction with our AI models.
- Implement security, observability, and monitoring practices to ensure systems are reliable, compliant, and easy to maintain.
- Collaborate with Data Scientists to transform agentic AI prototypes into scalable, secure production systems.
- Partner across teams to integrate AI features seamlessly into our SaaS ecosystem and continuously improve our architecture., Drive Impact: Make meaningful contributions and help move initiatives forward across teams. Your input will be valued, and your work will have a direct influence on sevdesk's success.
Empowered Ownership: take charge of your work and projects with the expectation of making decisions independently, supported by a team that's there when you need guidance.
Requirements
Do you have experience in Terraform?, Do you have a Master's degree?, * A university degree in computer science, software engineering or other relevant areas.
- At least 3 years of professional experience in building production-grade systems.
- Solid programming skills (e.g., Python) and familiarity with modern development practices
- Experience with cloud infrastructure (AWS, GCP, or Azure), containerization (Docker, Kubernetes), and Infrastructure-as-Code (Terraform, CDK)
- Interest or hands-on experience with vector databases, embedding pipelines, and operationalizing RAG-based AI systems.
- A security-first, collaborative mindset: you care about building reliable systems and enjoy learning and improving together with others.
Benefits & conditions
Competitive Compensation: Includes a company pension to reward your contributions.
Time to Recharge: 30 vacation days, 3 additional days for social engagement, plus 30 Workation days to work from anywhere in the EU.
Flexible Work Environment: We believe in working where you're most productive, whether that's at home or in the office. Our hybrid approach balances flexibility with in-person collaboration, fostering trust and strong teamwork when we come together.
Comprehensive Benefits: bike leasing, monthly voucher of choice (Amazon, IKEA, Car Sharing, …), Amazon book flat, corporate discounts and more.
Team Vibes: Enjoy regular team offsites and quarterly events packed with networking and fun!
#LI-Remote
Contact: Saskia Schwartz