Candidates should have backgrounds from any programs: such as computer science, computer engineering, electrical engineering, Mechatronics, biomedical engineering, Biology, Finance, etc. You have from first year students to final year, including internship projects, thesis positions. 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. .
+ Basic statistic machine learning is strong plus
+ Bayesian Inference and probabilistic graphical models are necessary
+ Familiar with several specific frameworks are acquired such as Caffe or Pytorch or Tensorflow.
+ Computer Vision and Image Processing: processing on detection and segmenation, tracking, etc
+ Natural Language Processing and Speech Processing
+ Time series and Regression
+ Interested in Signal Processing, reconstruction, representation, information processing
+ Understanding the evaluation methods in machine learning
+ Optimization and Regularization Problems
+ Deep Learning and Neural Networks
+ Decision-Making and Reinforcement Learning
+ applied ml: automative, self-driving cars, robotics, etc, food processing and quality, applied AI in planning and scheduling, transformation, smart city, etc
+ Chance to improve English
+ Work in a specific projects from customer
+ Get credit once projects are done