SETA INTERNATIONAL VIETNAM - RECRUITMENT
Job Position: Machine Learning Intern
Planned Start Date: September 2025
Syllabus
Overview and Data Exploration
Overview: Introduce and distinguish AI, Machine Learning (ML), -Deep Learning (DL), and Data Science (DS)
Real world ML workflow from experiment to deployment -> ML engineer ? -> Skill?
Data Wrangling and Cleaning:
+ Process raw data (missing, duplicate)
Database, SQL
ML 101
Introduce ML (supervised | unsupervised learning)
Feature Engineering
Fundamental Algorithm:
+ Linear Regression
+ Logistic Regression
+ KNN
Linear Regression (enhance with normalization L1, L2) (just introduce)
Split data method (K-Fold, Leave-One-Out, Strastified, Time-Series...)
Algorithm
Decesion Tree -> Expansion: Bagging | Boosting | Stacking -> Random Forrest
Naive Bayes
Evaluation & Hyperparam tunning
Basic idea about Boosting and Extra Trees, XGBoost...
How to evaluation model
Hyperparam tunning method
Big Data
Map Reduce basic concept
Data warehouse -> Datalake -> Data lakehouse"
Review final project + ML engineer
Review final project
ETL/ELT
Workflow orchestration: Airflow
Introduce about cloud platforms: Azure, AWS"

Good English communication skill.
Bachelor's degree in Computer Science, Data Science, Applied Mathematics, or related field
Proficient in Python and basic understanding of popular ML libraries (e.g., NumPy, Pandas, Scikit-learn, TensorFlow/PyTorch)
Familiar with data preprocessing, feature engineering, and model evaluation
Basic understanding of ML algorithms and statistical concepts
Basic understanding of Jupyter Notebooks, Git, and cloud platforms (e.g., AWS, GCP, or Azure) is a plus
Eagerness to learn and grow in a fast-paced environment
Available for full-time work (Monday to Friday) after completing the training course.