You are enthusiastic about the idea of a renewable energy supply and want to contribute your creativity and commitment to a motivated team? Then we look forward to your application.
We are looking to strengthen our team with a
Machine Learning Software Engineer (m/f/d) – MLOps
Your essential tasks and responsibilities
- Collaborate in the software development team for image-based characterization methods of solar cells (Computer Vision)
- Continuously improve the application by developing, optimizing, and testing new and existing (micro)services
- Develop AI-based solutions to meet our customer requirements
- Support application engineers and customers on model optimization
- Further develop the infrastructure and automation for rapid deployment, analysis, and continuous monitoring of machine learning models (MLOps)
- Optimize our data pipelines and data selection for data labeling
Your Profile
- Successfully completed studies in computer science,a related field or an equivalent qualification
- Excellent programming skills in Python
- Knowledge in Data Science, implementation and evaluation of Machine Learning models, and experience in Computer Vision (TensorFlow, Keras)
- Experience with Data Engineering and databases (SQL, Elasticsearch) or container virtualization (Docker) and good Linux knowledge is a plus
- Knowledge of additional high-level programming languages (JavaScript) is advantageous
- High interest in modern software solutions and working in a solution-oriented and agile team
- Teamwork, reliability and high quality standards
- Good communication skills in English, German preferable
We offer you
- Permanent job in an innovative company
- Team-oriented working environment with short decision-making processes
- Varied job and the opportunity to develop yourself
- Flexible working hours and 30 days of vacation for a good work-life balance
- Modern offices with height-adjustable desks
- Free parking spaces and charging stations for electric cars or e-bikes
- Company pension plan and further attractive benefits
Contact us
If you have any questions, please contact Saskia Schellenberger, Tel.: +49 69 943 353 -445.
Please send your application, including your salary expectations and earliest possible starting date with the reference number W-240003 by email to: careers@halm.de
We are looking forward to your application!