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Innovation Data Engineer

Il y a 2 mois


Grenoble, Auvergne-Rhône-Alpes, France Verkor Temps plein
About this Role

We are seeking a highly skilled Innovation Data Engineer to join our Process Innovation team at Verkor. As a key member of our team, you will be responsible for developing innovative solutions based on cutting-edge technologies and solving practical problems.

Main Responsibilities
  • 1. Problem Identification and Engineering Modeling
    • Identify complex problems and simplify them into an engineering model with support from experts.
    • Recognize the problem beneath phenomena and understand causal relationships.
    • Break down problems into potential solvable tasks.
  • 2. Solution Definition and Investigation
    • Define requirements and investigate potential solutions.
    • Clarify goals for each task and develop a roadmap for the whole solution.
    • Research available approaches and classify technical routes.
    • Analysis risks and ROI.
  • 3. Design and Validation
    • Propose concepts and draw a whole solution.
    • Provide Design of Experiments (DoE) for your design.
    • Select required components and software, etc.
    • Initiate purchase or self-develop core functionalities.
    • Verify feasibility and offer deployable solutions for production lines.
  • 4. Reporting and Support
    • Report progress and results of studies to other Verkor departments.
Requirements
  • Bachelor or Master's degree in Computer Science, AI, or similar discipline.
  • 1 year minimum of experience working with AI and innovation projects. Industrialization experience is mandatory.
  • Experience in Agile-based software development is required.
  • Mandatory knowledge on 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 on Scikit-learn, Pandas, and familiarity with at least one DL framework, such as PyTorch, Keras, etc.
  • R, & Matlab knowledge.
  • Strong knowledge on Python, C++.
  • Knowledge on time series forecasting techniques.
  • Good learning skills.
Language

The language used for this role is en-US.