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Internship: Machine Learning Engineer
Karlsruhe, Germany
Technical - 1 month 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 ML-Engineering team in Karlsruhe. The responsibilities include but are not restricted to:
- ML-projects with one or multiple enterprises to bring ML into products.
- Enrich the Aimino's core ML-Platform Amelia with required ML- and Engineering capablities.
- customization for ML-deployments on different infraststructures such as on edge, on-prem, in the cloud .
Qualifications
- Successful Machine Learning projects for products.
- Strong technical backgrounds with fullstack for Machine Learning frameworks and development (Tensorflow, Keras, Pytorch, TF-extended, TF-lite)
- Fundamental knowledge and best practices of Software Engineering (architecture design, coding conventions, programming languages such as C++, Python, C#, javascript, PHP)
- Optional: Strong backgrounds in cloud and deployment technologies (Elastic search, AWS, GCloud, Azure etc.)
- Optional: 2-3 Project using common ML-Ops frameworks (MLFlow, Seldon, Optuna, SigOpt, Jupyterhubs, CVAT, Kubeflow, MLReef, DVC or comparable)
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.
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