Intern - Membrane Application Engineer

Water TechnologiesMinnetonka, MN
11d$21 - $24

About The Position

Veolia is seeking thoughtful, dedicated professionals to join our ever growing team as we deliver leading water treatment solutions for clients across municipal and industrial markets, in locations on six continents. Finding solutions to the world's biggest water use and reuse problems has never been more important than it is right now. Working at Veolia means helping people. Our careers have purpose and are vital to everyday quality of life. Veolia’s mission is to resource the world and we hope you will join us! Location: Minnetonka, MN 55343 Schedule : 5 days a week (M-F) What your day might look like: Review digitized documents. Understand Water treatment process and membrane separation process, the knowledge will be used for understanding the documents better Create modelling for document searching and application process developing based on data analysis and machine learning Review searching results and modify code for model optimization

Requirements

  • Currently pursuing a degree in Chemical Engineering and Data Science
  • Experience on Machine learning modelling
  • Applicants are required to be eligible to lawfully work in the U.S. immediately; employer will not sponsor applicants for U.S. work authorization (e.g. H-1B visa) for this opportunity

Nice To Haves

  • Chemical Engineering background with data science skills
  • Understand fundamental mass balance and unit operation
  • Career driven individual/leader who seeks opportunity within an organization that can help you develop personally and professionally
  • Fluent on various programming languages
  • Capable of coding on development of machine learning models
  • Punctual and dependable
  • Impeccable organization and time management
  • Clear, concise communication and presentation skills
  • Adaptable to an ever-changing environment

Responsibilities

  • Review digitized documents.
  • Understand Water treatment process and membrane separation process, the knowledge will be used for understanding the documents better
  • Create modelling for document searching and application process developing based on data analysis and machine learning
  • Review searching results and modify code for model optimization
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