As a working student, you will use your expertise to benefit the changing energy industry and will be closely involved in its dynamic and innovative evolution. In this role, you will take on responsibility and enjoy the freedom and flexibility to put forward and implement your own ideas and solutions.
What you will do
- Take over responsibility for various Ops tasks within the Hydro4.0 Data Team such as monitoring the performance of ML models in production, testing&deploying new releases of our web app, and productionalizing new models
- Continuously improve and adapt DevOps processes as the team evolves
- Depending on your experience and workload you can take over additional responsibilities such as debugging/improving existing models, developing new models on your own and connecting new data sources to our platform
What you bring & who you are
- Interest in machine learning in an industrial context for applications such as predictive maintenance
- Experience with git in a multi developer environment
- Advanced coding skills in python
- Intermediate knowledge of SQL
- JavaScript and docker would be a plus
About the team
Our motivated and dynamic Hydro 4.0 team is helping to shape the digital future of hydropower. You can expect a young, open and cooperative working atmosphere in a professional, agile and innovative environment. If you want to help shape the future of energy, then you've come to the right place. We offer you a lot of freedom and flexibility to bring in and implement your own ideas.
Contact
Evelyn Polo Minardi
Senior HR Manager
T +41 56 200 34 29