Senior AI Developer
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Description
Senior AI Developer – Industrial AI Applications
For an industrial AI project, we are looking for an experienced Senior AI Developer to develop and operationalise AI solutions for industrial filling processes.
The assignment focuses on automated ML training and retraining, simulation-based optimisation, Databricks-based data monitoring, and observability for AI applications across edge and cloud environments.
Your responsibilities
- 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
Your profile
- 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
Project details
- Project duration: 15 November 2026 to 31 March 2027
- Extension option: 1 April to 31 December 2027
- Capacity: 130–150 hours per month
- Working model: Mostly remote
- On-site presence: Approximately three days per quarter, subject to agreement
- Remote-work restriction: Remote work must be performed within the EU/EEA
- Project language: German
- Documentation: German and English
Interested in applying your AI and MLOps expertise to a technically challenging industrial environment? Please send us your CV, availability and hourly rate.