Machine Learning & Data Science Intern

Công Ty TNHH OFFICIENCE

Aussicht: 131

Update Tag: 16-04-2024

Ort: Vietnam

Kategorie: Design - Web Informationstechnologie Telekommunikation Andere

Position: Nhân viên chính thức

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Jobinhalt

About the role

  • Be a member of a dedicated team
  • Research data visualization, machine learning (models)
  • Other jobs according to project requirements

Qualifications

  • 3rd or last year student in Data Science
  • Familiar with Linux OS
  • Solid knowledge about Data mining, Data science / Machine learning
  • Knowledge about databases such as SQL / MySQL
  • Experience in Python, Pandas, Numpy, Matplot, Sklearn, PySpark or Kafka, Hadoop
  • Visualization tools such as Google Data Studio, SuperSet or Tableau .. is a plus
  • Knowledge about prediction, recommendation models is a plus
  • Love to build models with text
  • Love and have the ability to deal with new technical challenges
  • Teamwork spirit, responsibility and good in English

It would be a plus point if you have been familiar with Shell/ Bash scripting.

If not, don’t worry, you will be trained by our Senior Developer.

Would be great if you can include your Github profile, links to blog posts or any projects you have involved in, etc

Benefits

  • Flexible working hours:

+ Monday – Friday

+ From 9:00 AM – 6:00 PM (Flexible) Off maximum 1 day/ week for school

+ Opportunities for full-time offer after internship ends

  • Monthly allowance: 3,000,000 VND per month
  • Free lunch, parking-free, lots of rooms for improvement, work from home policy in case…

About us

Founded in 2005, Officience is a 100% French-owned provider of business performance services which has pioneered the outsourcing industry in Vietnam.

For over 15 years, we have been fully dedicating our efforts to European clients with the services that vary from IT solutions, Data Management, to Image & Designs services and are still going to carry the promise until today.

> Our website: www.officience.com

> LinkedIn/ Twitter/ Facebook:@Officience

Frist: 16-05-2024

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