Senior AI Developer

• Enhance the existing ML training pipeline and automate model retraining
• Integrate automated retraining into existing support processes
• Develop and validate simulation models for industrial filling processes
• Automate the optimisation of control parameters within simulations
• Validate simulation results on a physical test setup
• Monitor data quality, data drift and control-loop performance using Databricks
• Extend existing monitoring dashboards and implement automated alerts
• Establish real-time monitoring for edge AI services using OpenTelemetry
• Collect, visualise and monitor application metrics and logs
• Develop monitoring and alerting concepts covering edge and cloud environments

• Strong hands-on development experience with Python
• Practical experience with Machine Learning and MLOps
• Experience with TensorFlow or PyTorch
• Experience automating and orchestrating ML pipelines using MLflow or comparable tools
• Strong experience with Databricks or a comparable data platform
• Proficiency in Spark/PySpark and SQL
• Experience with data modelling, ETL/ELT pipelines and data lake or lakehouse architectures
• Hands-on experience with Docker and Kubernetes
• Experience deploying and monitoring production applications in cloud and edge environments
• Strong understanding of monitoring, observability and automated alerting
• Strong German skills and English skills for technical documentation

Additional relevant experience

• AWS cloud services
• Infrastructure as Code using Terraform, CloudFormation or comparable tools
• OpenTelemetry
• Data quality tools such as DQX
• Experience with industrial AI, simulation models or control systems