About our group:

About the role - you will:

• Work closely with R&D engineering teams to build data analytics workflows and processes, develop statistics / physics / ML models that bring insights into valueadded analytics.
• Develop Gen AI models that transform complex data sets into clear, actionable insights.#internship

About you:

• Master degree or Ph D degree graduate student in Computer Science Engineering, Electrical Engineering, Mechanical Engineering, Physics fields.
• Passionate about data and analytics with AI/ML capabilities.
• Ability to work independently with proven problem-solving skills and out-of-box thinking mindset.
• Good communication and teamwork skills needed in collaborative cross functional team environment.
• Design, develop and deliver data science solutions

Your experience includes:

• Develop python rule-based and ML/DL model on time series data, image data, and parametric data.
• Py Torch or Tensorflow framework.
• Statistics models & ML algorithms such as multi-class classifications, decision trees and deep learning. Image AI, computer vision, Open CV and Tensor Flow.

• Data engineering skills including API, Airflow, Spark, Docker and Kubernetes.
• Proficiency with Linux OS and terminal command line is a plus.
• Version control such as Git or SVN.
• Web based dashboard and visualization

Location: