English summary for screening — check the original posting before applying.
Start with a 3-month intensive training program to build a solid foundation in machine learning and AI. After training, you will be assigned to cutting-edge projects with various companies, from major corporations to startups.
Must-haves
- Complete 3-month training program
- Gain equivalent of 2 years of practical experience after training
- Must be willing to work onsite for projects
Nice-to-haves
- Experience with data visualization and numerical summarization
- Familiarity with probability and probability distributions
- Knowledge of statistical inference and hypothesis testing
- Experience with simple linear regression analysis
- Experience with SQL, Python, pandas, and Git basics
- Understanding of multivariate analysis and machine learning fundamentals
- Familiarity with advanced machine learning techniques like logistic regression, hyperparameter optimization, decision trees, random forests, and linear SVM
- Experience with Numpy, Pandas, AWS EMR, Hive, Ridge Regression, Keras
- Knowledge of recommendation systems
Tech stack
SQLPythonpandasGitAWS EMRHiveKeras
Work style
Onsite, Tokyo (implied by typical job board context for Japan)
Other notes
Book purchase system and certification support available. Weekends and holidays off. 125 days off annually.