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Machine Learning Intern

Mô tả công việc

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

Requirements

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.

Benefits

Competitive salary based on performance.
Direct mentorship and training from experienced Project Managers at SETA International
100% free training in Machine Learning Training Program
Involved in real-world projects at large scale, with diverse technologies and international clients (US/Canada)
Young, dynamic, and creative work environment with ample growth opportunities.

Thời gian làm việc:Part time

Số lượng:10

Địa Điểm:In office

Cấp bậc:Intern

Ngày hết hạn:04-09-2025

Mức lương:Thỏa thuận

Cấp độ:Intern

Số lượng:10

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Mức lương:UPTO 10M

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Số lượng:1

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ReactJS

Mức lương:Thỏa thuận

Cấp độ:Intern

Số lượng:10

Ngày hết hạn:03-07-2025

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