[Working student/ Internship] DevOps Engineer with ML skills

60% of data in AI and analytic projects will be synthetically generated by 2024 according to Gartner. By 2030, analysts predict fake data to replace actual data entirely. Aimino is the provider to quickly bring Machine Learning into real applications with synthetic data. Our ML platform Amelia, unifies applications and input data sources to maximize the business values of Machine Learning.

Tasks

We are extending our SWE team in Karlsruhe. The responsibilities include but are not restricted to:

• Develop and maintain Amelia
• The platform for data generation
• Develop new features and deploy them in the cloud for scalability

Requirements

• 2-3 Project using common ML-Ops frameworks (MLFlow, Seldon, Optuna, SigOpt, Jupyterhubs, CVAT, Kubeflow, MLReef, DVC or comparable)
• Proved records of SWE experiences and best practices: architecture design, coding conventions, proficiency in Python
• Optional: >2 years experience with deployment: Docker / gVisor, Kubernetes or serverless.
• Optional: >2 years experience with cloud providers
• Optional: fundamentals in full-stack development for Machine Learning frameworks and development (Tensorflow, Keras, Pytorch, TF-extended, TF-lite)

Benefits

• Strong collaboration with colleagues, coming from prestigious Machine Learning institutions such as Google AI Research, Bosch AI
• Personal growth and high responsibility with big impact
• Attractive compensation package
• Hybrid working model with Home Office
• Teamevents
• Free Snacks and Fruits