Machine Learning Engineer (m/f/d)

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

• Evaluation of the AI assistant as well as individual tools and agents in terms of quality, robustness, and user experience
• Build and further develop intent recognition (including VA forwarding, PBK recognition)
• Structured dialog analyses to derive reliable insights from user conversations (conversational design)
• Context engineering: structuring, connecting, and maintaining extensive knowledge sources for the consulting service
• Optimizing latency and costs through flexible model selection and orchestration
• Conceptual design, build, and operation of automated end-to-end ML pipelines for evaluation and monitoring

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

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

• Hands-on experience in building and orchestrating data pipelines with Apache Airflow (DAGs) as well as automating recurring data/ML processes.