Machine Learning Engineer (m/f/d)

For a digitalization project in an enterprise environment, we are looking for an experienced ML Engineer. The focus is on building fully automated conversational evaluation processes, intent recognition, and professional context engineering for our customer's AI assistant.

• Evaluation of the AI assistant as well as individual tools and agents in terms of quality, robustness, and user experience
• Building and further developing intent recognition (including VA transfers and PBK detection)
• Structured dialogue analysis to derive reliable insights from user conversations (conversational design)
• Context engineering: structuring, connecting, and maintaining extensive knowledge sources for advisory services
• Optimizing latency and costs through flexible model selection and orchestration
• Designing, building, and operating automated end-to-end ML pipelines for evaluation and monitoring

• Solid ML fundamentals with practical experience in building, operating, and deploying production-grade LLM systems, especially scalable high-throughput inference.

• Experience automating end-to-end production ML systems: pipeline deployment, Docker containerization, reproducible environments, cloud monitoring/scaling, and infrastructure as code.

• Practical experience building and orchestrating data pipelines with Apache Airflow (DAGs), as well as automating recurring data/ML processes.