Work Environment
The rapid pace of digitalization is transforming the automotive industry, reshaping both work and business landscapes. Our department plays a central cross-sectional role in this evolution by developing software applications that leverage cloud technologies and AI to drive innovation across various business sectors of AUDI AG. We are involved in the entire process, from planning and developing efficient architecture and integrating state-of-the-art AI algorithms to deploying the applications in scalable and secure cloud environments. If you are enthusiastic about software development in combination with cloud engineering and AI, join our team to contribute to exciting projects!
Job Purpose/Role
• You support the development of cutting-edge AI software applications and cloud-based solutions for various business areas of AUDI AG
• You assist in the deployment and maintenance of robust applications on AWS and Azure, ensuring they are secure, scalable and efficient
• You contribute to AI related tasks (e.g. pipeline development) on high-impact projects
• You collaborate with a dynamic team, contributing to exciting tasks and activities that drive our mission forward
Key Requirements/Skills/Experience
• You are enrolled in a master's program in one of the STEM disciplines or a comparable field of study
• You have extensive experience in deploying applications to cloud platforms (e.g. AWS, Azure) by utilizing Infrastructure-as-Code (e.g. CDK, Bicep) and related tools (e.g. Docker)
• You are proficient in testing frameworks (e.g. pytest) and -strategies and have experience in API development (e.g. FastAPI, Pydantic)
• You bring experience with frontend development frameworks (e.g. Streamlit, Gradio) and very good programming skills in Python are essential
• Familiarity with machine learning and related tools (e.g. DVC, MLflow, Optuna) is beneficial
• You impress with quick comprehension, the ability to work independently, excellent communication skills, and enjoy collaborating with interdisciplinary project teams
The rapid pace of digitalization is transforming the automotive industry, reshaping both work and business landscapes. Our department plays a central cross-sectional role in this evolution by developing software applications that leverage cloud technologies and AI to drive innovation across various business sectors of AUDI AG. We are involved in the entire process, from planning and developing efficient architecture and integrating state-of-the-art AI algorithms to deploying the applications in scalable and secure cloud environments. If you are enthusiastic about software development in combination with cloud engineering and AI, join our team to contribute to exciting projects!
Job Purpose/Role
• You support the development of cutting-edge AI software applications and cloud-based solutions for various business areas of AUDI AG
• You assist in the deployment and maintenance of robust applications on AWS and Azure, ensuring they are secure, scalable and efficient
• You contribute to AI related tasks (e.g. pipeline development) on high-impact projects
• You collaborate with a dynamic team, contributing to exciting tasks and activities that drive our mission forward
Key Requirements/Skills/Experience
• You are enrolled in a master's program in one of the STEM disciplines or a comparable field of study
• You have extensive experience in deploying applications to cloud platforms (e.g. AWS, Azure) by utilizing Infrastructure-as-Code (e.g. CDK, Bicep) and related tools (e.g. Docker)
• You are proficient in testing frameworks (e.g. pytest) and -strategies and have experience in API development (e.g. FastAPI, Pydantic)
• You bring experience with frontend development frameworks (e.g. Streamlit, Gradio) and very good programming skills in Python are essential
• Familiarity with machine learning and related tools (e.g. DVC, MLflow, Optuna) is beneficial
• You impress with quick comprehension, the ability to work independently, excellent communication skills, and enjoy collaborating with interdisciplinary project teams