Services
Internship: MLOps
Karlsruhe, Germany
Technical - 5 months ago
Aimino: Creating Intelligence with Synthetic data
60% of data in AI and analytic projects will be synthetically generated by 2024 according to Gartner. By 2030, the analysts predict fake data to entirely replace real data. Synthetic data help for example when historical data become obsolete, or when real-world data collection is dangerous or difficult.
Aimino is the provider to bring Machine Learning into real applications easily with synthetic data. Our ML-platform Amelia unifies applications and input data sources to maximize the business values of Machine Learning. The ML-empowered applications are easily deployed on end devices or in the cloud.
Responsibilites
We are extending our MLOps-team in Karlsruhe. The responsibilities include but are not restricted to:
- Develop and Maintain Amelia - The platform for synthetic data generation
- Develop and Extend ML core integration of Amelia to other ML-Ops-frameworks
- ML-Deployment and bring ML into real applications
Qualifications
- Successful Software Engineering or Machine Learning related projects for real products
- Successful 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 programming languages such as C++, Python, C#, Java Script, Java, PHP
- Optional: Good knowledge in: Unix Systems, network structures, databases, APIs etc.
- Optional: experience in cloud and deployment technologies: Elastic search, AWS, GCloud, Azure etc.
- Optional: Strong background in fullstack development for Machine Learning frameworks and development (Tensorflow, Keras, Pytorch, TF-extended, TF-lite)
Benefits
- High responsiblity with enormous impact from day one.
- Personal growth by leading exciting cutting-edge projects with large enterprises and SMEs (small and mid-sized enterprises)
- Strong collaboration with colleagues, coming from prestigous Machine Learning institutions such as Google AI Research, Bosch AI
- Innovative internal development best practices and processes, closely resembles big tech's internal processes.
