Machine Learning & Data Science Intern
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Ver: 131
Día de actualización: 10-12-2024
Ubicación: Vietnam
Categoría: Telecomunicaciones Diseño - Web Tecnologías de la información Otra
Posición: Nhân viên chính thức
Contenido de trabajo
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
Plazo: 09-01-2025
Haga clic para postularse como candidato gratuito
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