For our client in the Industry & Construction industry we are looking for a ML Engineer (m/f/d) for Energy Savings in Cooling/Heating on a freelance basis. - Ref. 110527
Start: 25.11.2024, latest 01.01.2025
Duration: 6 months
Fulltime (120 PT)
hybrid (Berlin, Düsseldorf)
language: English
Projectdescription:
Control discharge pressure of compressors to optimise the heating/cooling process. Settings are based on compressor measurements and energy prizes. Data processing on Azure Databricks and writeback via API on the edge device.
Tasks:
- Refactor an experiment notebook into a maintainable Databricks pipeline
- Enable the Databricks pipeline to interact with the writeback API of the edge device
- Generalize the pipeline from the prototype plant to further customers
Must have:
- Experience with IoT data and process automation
- Proficiency in Python and Terraform
- Experience with Azure Databricks, IoT-Hub and DevOps
- Experience with machine learning
- Experience with production implementation of similar IoT cases for mechanical engineering
- Engineering background or experience with heating/cooling machines like compressors
- Experience with API design
If you are interested in this project, I look forward to receiving your current English CV and your daily rate.
