Research Engineer for Distributed Machine Learning
il y a 1 jour
Inria MiMove is seeking a highly skilled Research Engineer to contribute to the CP4SC project. This exciting opportunity will allow you to work on developing a solution for distributed/federated machine learning over IoT data streams.
As a Research Engineer, you will be responsible for designing and implementing this solution as part of one or more use case scenarios of the CP4SC project. You will work closely with our team to ensure that the solution meets the requirements coming from these use cases.
In a second step, we aim to enhance our solution with Automated Machine Learning (AutoML) features. AutoML leverages algorithms and computational capabilities to automate key aspects of the ML pipeline, such as feature engineering, model selection, and hyperparameter tuning.
You will also be expected to further support MiMove's research in relation to the above identified and other related topics.
Requirements
To be successful in this role, you should have either a PhD in Computer Science or a Master's degree with additional experience in research projects. Expertise is required in one and possibly several of the following topics:
- Machine learning,
- Distributed systems,
- Internet of Things,
- Cloud/edge computing.
Benefits
- Subsidized meals,
- Partial reimbursement of public transport costs,
- Leave: 7 weeks of annual leave + 10 extra days off due to RTT (statutory reduction in working hours) + possibility of exceptional leave (sick children, moving home, etc.),
- Possibility of teleworking and flexible organization of working hours,
- Professional equipment available (videoconferencing, loan of computer equipment, etc.),
- Social, cultural and sports events and activities,
- Access to vocational training,
- Social security coverage.
About Inria MiMove
Inria MiMove is one of the 7 partners of the CP4SC project, funded by the France 2030 program. The industrial CP4SC platform coordinated by Eviden/Atos aims to enable a data space which will collect data from IoT sensors as well as other data sources and will support data analytics for addressing the needs of national and local governments with regard to the development of energy, mobility and environmental policies.
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