Internship in the Field of Digital Twin Orchestration
grow platform GmbH
Aufgaben
- During your internship you will have a basic understanding of Numerical Simulation and Machine Learning. You will be eager to learn and flexible in finding solutions to a given problem.
- Furthermore, you will gain a basic understanding of CI/CD pipelines and MLOps concepts.
- In addition, you will understand cloud computing (an understanding of services such as S3, RDS and EC2 in AWS is an advantage) and Infrastructure as Code (IaC).
- Last but not least, you will have experience of Terraform/CloudFormation/Ansible, of developing data pipelines and understanding ETL processes (experience of Airflow is an advantage).
Profil
- Education: Master studies in the field of Computational Engineering, Mechanics, Computer Science or comparable
- Experience and Knowledge of Infrastructure as code (IaC), Numerical Simulation and Software Orchestration; strong experience in writing bash scripts (automation scripts), working with Python and Terminal, and be able to read and understand YAML files
- Personality and Working Practice: a self-motivated person who is eager to learn, has a proactive and positive attitude, problem-solving and critical thinking skills, and the ability to propose innovative solutions
- Enthusiasm: a passion for innovation and creating visually compelling experiences
- Languages: business fluent in English, other languages an advantage
Kontakt & Wissenswertes
Start: according to prior agreement
Duration: 6 months
Requirement for this internship is the enrollment at university. Please attach your CV, transcript of records, enrollment certificate, examination regulations and if indicated a valid work and residence permit.
Diversity and inclusion are not just trends for us but are firmly anchored in our corporate culture. Therefore, we welcome all applications, regardless of gender, age, disability, religion, ethnic origin or sexual identity.
Need further information about the job?
Pilkun Ravi Shabarish (Functional Department)
+49 711 811 21804
