Ai Engineer

2 weeks ago


Thành phố Hồ Chí Minh, Vietnam Innotech Innovative Technology Full time

**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)
- 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.
- 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


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