Innovation AI Engineer

Grenoble, France

Process Engineering – Process Innovation Team /

CDI / Permanent position /

On-site

Develop solution innovatively based on cutting edge technologies, to solve practical problems.
Understand the real industrial cases and do investigation from versatile resources
Turn the solution and technology from either lab or concept to real production
This job is challenging, which requires excellent observation, data sensitivity, logic thinking, outstanding learning skills and patience as a typical engineer.
You will mainly focus on digital manufacturing and smart factory topic, to improve process efficiency, quality and reduce direct labour to make Verkor as a strong competitive battery manufacture in this world.

1. Identify the problem, simplify, and summarize to engineering model, with supports from experts
Recognize the problem beneath phenomenon;
Understand causal relationship and other priori knowledge related to the scenario;
Breakdown problems into potential solvable tasks;
2. Define requirements, Investigate potential solutions
Clarify goals for each task;
Develop roadmap of whole solution;
Research available approaches and classify technical route;
Analysis risks and ROI;
3. Design and validate
Propose concept drawing of whole solution;
Provide DoE of your design;
Select required components and software etc.;
Initiate purchase or self-develop for core functionalities;
Verify feasibility and offer deployable solution for production line;
4. Report and support
Report progress and results of the studies to other Verkor departments.

Evidence of exceptional ability. Verkor follows a culture of full-cycle engineering where members will have full responsibility and accountability for their projects from start to finish. We are looking for the best of the best. This experience could also make you special and rare in the market!
5 -10 years of experience working with AI and innovation projects. Experience related to battery is preferred.
Ability to transform research articles into the working solution for real-world problems
Strong fundamental knowledge on sensor technologies to drive IOT projects
Capable of deployment is required, such as HW requirements, environmental compatibility evaluation, encapsulation etc.
Deep understanding of AI algorithms
Proficient with at least one deep learning framework such as Tensorflow, Keras and Pytorch
Experience in training models through GPU computing using NVIDIA CUDA or on cloud
Excellent team player who is open to new ideas and thoughts
Good English written and oral skills
Highly organized and result driven
Strong knowledge on Python, C++
Experience with modern smart factory design to reduce footprint and optimize manufacturing process is a strong plus.
Basic: Bachelor’s degree in Computer Science, AI, or similar discipline
Preferred: M.S. in AI, computer science or similar discipline.