MACHINE LEARNING BACKEND ENGINEER (m/f/d)SalzburgSt. Johann im PongauJunior, Career startFull/part timeALL ABOUT: CREATING SAFETY BY TECHNOLOGYMeaningful, sustainable, agile. Connected, innovative, modern. Unique, dynamic, international.With 360°-communication and control center solutions, we create safety in the field of public safety, industry and transport.In the symbiosis of innovation, quality and state-of-the-art technology with sustainable benefits, we create highly available, innovative technical solutions for emergency call responding, resource management and alerting. Join us in developing the next generation of AI-powered assistance platforms for emergency control centers. Your work will help emergency operators handle incidents smarter, safer and ultimately save lives. We combine cutting-edge machine learning with robust backend engineering to give the best possible assistance in handling emergencies. YOUR CONTRIBUTIONDevelopment & Integration: Develop, optimize, and fine-tune machinelearning models for natural language processing and speech interpretation to support emergency call handling.System Architecture: Design secure, distributed, and maintainableAI-driven platforms that deliver reliable, real-time assistance in mission-critical situations.Collaboration: Work closely within an independent, cross-functional team to build AI-enhanced solutions and deliver high-impact, production-ready softwareBackend Development: Implement high-performance backend services and APIs using Java and Spring Boot, following modern microservices patterns.Agile Practices: Contribute to a culture of agility and continuousimprovement through daily stand-ups, sprint planning, and retrospectives.Quality & Performance: Ensure robust and reliable software via automated testing, code reviews, CI/CD pipelines, and performance tuning.YOUR SKILLSETBackend Expertise: Relevant experience in Java and Spring Boot with microservices architectures.AI/ML in Production: Experience or strong interest indeveloping, optimizing, and deploying ML models for NLP and speech processing.Speech & Audio Know-How: Familiarity with speech recognition and audio signal processing is a plus.API Mastery: Solid experience designing and optimizing RESTful and/or gRPC APIs.Analytical Thinking: Commitment to designing scalable,maintainable solutions for real-time AI applications.Agile Mindset: Strong commitment to agile methodologies and iterative delivery.Clear Communicator: Ability to talk about complex AI concepts within the team.YOUR PERSPECTIVEMeaningful work & innovation: Become part of a crisis-proof family company, support life-saving organizations and work with state-of-the-art technologies to make a joint contribution to the greater good.Community & diversity: Flat hierarchies, multicultural and dynamic teams as well as regular team activities and company events strengthen cohesion - we celebrate our successes together!Flexibility & team spirit: Flexitime and up to 2 home office days per week - we value the personal exchange within the team on site.Further development: Learn and grow with the eurofunk Academy, Tech.Talks and individual mentoring.Health & sustainability: Fitness offers and lunch, as well as company health promotion. EcoVadis-certified sustainability, CO₂ compensation and environmentally friendly mobility options.Accessibility: Free parking and perfect train connectionsModern working environment: Enjoy modern premises and ergonomic office equipment, as well as well-thought-out spaces such as Workout.Zone and Game.Zone.Due to legal requirements, we are obliged to point out that the collective agreement minimum salary for this position starts at a gross annual salary at around €44,450. We offer an overpayment (even significant ones) which is based on your individual qualifications and professional experience.BECOME PART OF OUR TEAM IN A FUTURE-PROOF COMPANY AND HELP SAVE LIVES!Petra BaumannHR Business Partner
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