Senior Data Engineer
il y a 4 semaines
We are seeking an experienced Innovation Senior Data Engineer to join our Process Innovation team at our Innovation Center in Grenoble, France.
As a key member of our team, you will be responsible for developing innovative solutions based on cutting-edge technologies and solving practical problems. Your main work will be to understand complex cases, conduct thorough investigations, and turn solutions and technologies from concept to real production with support from supervisors.
Main Responsibilities- Problem Identification and Simplification
- Identify and simplify complex problems with support from experts.
- Recognize the underlying causes of phenomena.
- Understand causal relationships and prior knowledge related to the scenario.
- Break down problems into manageable tasks.
- Clarify goals for each task.
- Develop a roadmap for the solution.
- Research available approaches and classify technical routes.
- Analyze risks and ROI.
- Propose concepts and design a whole solution.
- Provide a design of experiments (DoE) for your design.
- Select required components and software.
- Initiate purchase or self-develop core functionalities.
- Verify feasibility and offer a deployable solution for production lines.
- Report progress and results of studies to other Verkor departments.
- Bachelor or Master's degree in Computer Science, AI, or a related field.
- Minimum 5 years of experience, including 3 years of experience working with AI and innovation projects in an industrial company.
- Experience related to batteries is preferred.
- Experience in Agile-based software development is required.
- Mandatory knowledge of SQL, MySQL databases.
- All necessary techniques for data mining, such as data extraction, feature engineering, etc.
- Proficiency in machine learning techniques, including DL&RL.
- Strong knowledge of Scikit-learn, Pandas, and familiarity with at least one DL framework, such as PyTorch, Keras, etc.
- R, & Matlab knowledge.
- Strong knowledge of Python, C++.
- Knowledge of time series forecasting techniques.
- Good learning skills.
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