AI Engineer (Intern)

Position: AI Engineer Intern

Level: Fresher/Intern

Location: Di An, Binh Duong/ Tan Binh, HCM

Working hour: 9:00 am to 6:00 pm (Monday to Friday)

Job Description

• Work with tabular/structured data: Data cleaning, feature engineering, and exploratory data analysis (EDA) using tools like Pandas, NumPy, and visualization libraries (e.g., Matplotlib, Seaborn).
• Develop and optimize ML models for tasks such as classification, regression, or risk prediction (e.g., loan approval, credit scoring).
• Implement ML pipelines: Automate data processing, training, validation, and model evaluation.
• Collaborate with engineers and data scientists to integrate models into production environments (APIs, microservices).
• Support deployment and monitoring of ML models (using tools like Docker, Kubernetes, MLflow, or cloud services).
• Research and prototype new features or algorithms to improve system accuracy and efficiency.
• Document and communicate results clearly in code and presentations.

Job Requirements

Technical Skills

• Good knowledge of Python (and/or R, C++/Java is a plus).
• Hands-on experience with data processing/analysis using Pandas, NumPy; able to handle missing data, outliers, feature selection, encoding, etc.
• Basic understanding of Machine Learning algorithms: Especially those suitable for tabular data (e.g., Logistic Regression, Decision Trees, Random Forest, XGBoost, CatBoost, LightGBM, SVM).
• Familiarity with ML frameworks: scikit-learn, and optionally PyTorch or TensorFlow for more advanced tasks.
• Knowledge of model evaluation metrics: Accuracy, AUC, F1, Precision/Recall, etc.
• Familiar with version control (Git) and basic software development workflows.
• Willingness to learn and apply new AI/ML concepts quickly.
• Good at English communication

Nice to Have (Plus)

• Experience in AI model deployment (Flask/FastAPI, Docker, or cloud platforms: AWS/GCP/Azure).
• Familiar with MLOps concepts, CI/CD for ML, or tools like MLflow, DVC.
• Prior participation in Kaggle competitions or ML projects (especially those with tabular data).
• Knowledge of SQL/NoSQL databases for data querying.
• Exposure to business problems in finance, banking, or loan risk modeling is a strong plus.

Benefits:

• Hands-on experience in AI software design and deployment.
• Mentorship from senior AI engineers and industry experts.
• Opportunity to work with state-of-the-art AI & ML technologies.
• Potential full-time employment after internship.
• Networking with top AI professionals and working in an international environment.

Loại hình công việc: Toàn thời gian

Mục lương: 1.000.000₫ một tháng