Student Worker for Machine Learning Engineering

Since 2011, we have been using artificial intelligence to tackle climate change. Our software already enables the full utilization of wind and solar energy in 20 countries around the world. Going forward, we will make machine learning methods accessible for even broader use in the energy industry and smart energy applications.

Join our team as

Student Worker for Machine Learning Engineering
Computer Science, Engineering or Sciences Major

You’ll fit in with us if you’re passionate about software development and have a reliable instinct for elegant structures and the right technology stack.

We create distributed applications using state of the art technologies such as CI/CD, K8s, Docker, Spring Boot, DuckDB, and Cassandra. You can help us drive the further development of our platform. Leverage your know-how to shape the architecture and implementation of new products for the coming highly scalable world of IoT.

Your role

  • Support the design and implementation of innovative and pragmatic solutions for machine learning projects
  • Assist in the development and optimization of machine learning models and workflows
  • Collaborate on the creation and maintenance of scalable data pipelines for processing and analyzing large datasets
  • Contribute to the automation and deployment of machine learning solutions using modern tools and frameworks
  • Work closely with the machine learning engineer and data scientist to ensure high-quality, efficient, and reproducible code

Your profile

  • Studying computer science or first experience in software development as a student worker
  • Knowledge of Python
  • Experience in using git as version control tool
  • Knowledge of any of the following technologies is considered a plus: Docker, Gitlab CI/CD, Kubernetes, SQL, Pydantic, Fastapi, Pandas, and Machine Learning is a plus
  • You are passionate about current software development methodologies such as Clean Code
  • You have a keen eye for details and a high-quality standard
  • Good English language skills

Our offer

  • Attractive salary
  • Possibility to create your thesis with us
  • Exciting tasks that help build the renewable energy future
  • A highly motivated team in a dynamic atmosphere
  • Flexible working at our attractive workspace in the Science Park Kassel and in the home office
  • Freedom for your creative ideas
  • Opportunities for personal development through work with new technologies, individual training and participation in international research projects

Your next step

We look forward to receiving your application with a detailed cover letter and transcript of records. For initial information, please contact Mr. Jens Schreiber via jobs@enercast.de.