The main problem we are trying to solve is to help fleet managers struggling to electrify and maintain their fleets with easy, without efficiency loss or added work pressure. The application would be easy to understand, adopt and use.

This project is to update, build and deploy ML models.

The student will perform the following:

• Create and deploy pipeline that are responsible for data retrieval, analysis, and prediction.
• Create metrics and policies for model versioning and keep track of model performance through the pipeline.

The student should be familiar with:

• Foundation and experience with Statistics, Probability, and Machine learning.
• Concrete programming skills in Python.
• Be familiar with fundamental deep learning concepts and machine learning algorithms.
• Be familiar with model deployments and building pipelines.
• Demonstrate strong communication skills.

• A dedicated Slack channel with access to Organization staff as needed,
• Github
• JIRA
• Access to user testing groups
• Direct connection to employer for mentorship and supervision throughout the project
• In addition, students will have weekly meetings with staff