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Senior Data Scientist
Il y a 2 mois
Schneider Electric is a global leader in the digital transformation of energy management and automation. With a presence in over 100 countries, we provide integrated efficiency solutions that combine energy, automation, and software.
Job DescriptionWe are seeking a Senior Data Scientist - Embedded AI to join our Global AI Hub in France. As a key member of our Strategy & Innovation team, you will be responsible for investigating new technologies to integrate intelligence into our products.
Key Responsibilities- Creation, specification, design, and implementation of Artificial Intelligence algorithms for products, systems, and solutions constrained in terms of Computing Power, Memory, and Energy.
- Define the Embedded AI Product's Needs in Interaction with the Business Line:
- Gain expertise in the technical subject of the product
- Share Embedded AI knowledge
- Facilitate brainstorming/workshops with the LoB experts
- Specify the requirements in terms of AI and associated product constraints
- Develop Artificial Intelligence Algorithms:
- In-depth data analysis
- Acquisition of additional data
- State-of-the-art analysis
- Model creation (potentially beyond the state-of-the-art)
- Algorithm performance evaluation
- Optimization of AI models for embedded targets
- Positioning technical proposals within a microcontroller hardware architecture
- Prototype and Validate on Hardware Targets:
- Development of firmware components that integrate these AI algorithms
- Prototyping, testing, and validation in both offline and embedded environments: working with data, AI models, and physical measurements on target
- Collaboration with electronics and embedded systems experts
- Develop Expertise in Embedded AI for Schneider:
- Lead innovation projects as well as associated technological and scientific monitoring, contribute to the valorization of intellectual property (patents, publications)
- Facilitate knowledge sharing and best practices
- Engineer or Master's in Computer Science/Data Science/Machine Learning with strong knowledge in Electronics/Embedded Systems
- Engineer or Master's in Electronics/Embedded Systems with a specialization in Data Science
- 5 years of experience minimum in similar topics
- Experience using low-level languages like C or C++ for embedded systems
- Strong knowledge in Deep Learning, Machine Learning, and Data Science
- Good knowledge in signal processing (ideally time series)
- Understanding of compression and optimization techniques for embedded AI models and associated tools (TensorFlow Lite Micro, ExecuTorch, STM32 Cube.AI...)
- AI development and MLOps tools and frameworks: Python, MLFlow, DVC
- Good knowledge of microcontroller architectures and embedded computing capabilities
- General knowledge of electrotechnical products or systems
- Experience in knowledge management (state-of-the-art, patents...)
- Excellent communication skills (English), pragmatism, and rigor
