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1 Description:

Candidates should have backgrounds from any programs: such as Computer Science, Engineering, Business, Finance, etc. We are also welcome candidates who are from first year students to final year, including internship projects, thesis positions, research, etc. You will have a chance to work and collaborate with talent in and Excellent people in our companies. There also advanced to join our Machine Learning supervised and travel abroad for conference. Due to AI currently difficult tasks but also make you more opportunities.

Note: Exceptions excellent person or students from Law, Finance, Business, Philosophy, Biology, neuronscience or any interests Data Science and data analysis always welcome:

+ Legal majors very welcome

+ Philosophy also welcome.

2. Number of Candidates:

Not limited the numbers

3. Requirements

Fundamentals of programming and mathematics

C/C++, Python/R, java and javascript programming are really needs during the works defining but unnecessary to have master

Motivations are most important, you will meet the real challenges in many difficult tasks and motivate yourself expected to run long-time for hard projects you will need to keep running for a long time for project at least 6 months, we are also expected you keep in touch with long time working more than one years for tracking research projects and development products.

+ basic statistic machine learning is strong plus

+ Analysis large-scare data set and big data: Spark, Hadoop, etc

+ Data analysis and visualization, masking the Power BI, SQL, Python Tools for Visualization, etc,
+ Cloud: AWS, Azure, Google Cloud, Firebase, etc

+ Bayesian Inference and probabilistic graphical models are necessary

+ Familiar with several specific frameworks are also plus such as Caffe or Pytorch.

+ Interested in time series and Signal Processing

+ Understanding the evaluation methods in machine learning, regularization,

+ Olympic Award or Any National Challenge are strong plus

4. Time

There are no limited the time during progress.

How to Apply?

Please send your CV directly to email:

Note: We are also refer to work with long-term the thesis research situations of any students from any. Contact us by email if you need more information.

Main Address: Work From Home and Offices:

[HCM-Vietnam] [Cantho-Vietnam] [Hanoi-Vietnam] [Binh Duong] [Daklak-Vietnam] [Remote]