RockstarDevelopers GmbH

Machine Learning Engineer

• Develop production-grade data and ML pipelines
• Automate data preparation and model training
• Build and operate model serving, including monitoring and alerting
• Integrate ML models into business applications
• Monitor ML models and detect model drift
• Further develop the technology stack and DevOps/MLOps processes
• Build AI solutions such as conversational systems, semantic search, RAG pipelines, and agents for public-sector clients
• Operate AI systems in production under stringent data protection and operational security requirements

Machine Learning Engineer – MLOps Engineer