Innotech Vietnam Corporation
AI tóm tắt
Skills bắt buộc
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.
Must-have:
• Proficiency in Python (knowledge of R, C++, or Java is a plus).
• Basic skills in data processing with Pandas and NumPy.• Understanding of common ML algorithms for tabular data (e.g., Logistic
Regression, Decision Trees, Random Forest, XGBoost).
• Experience using scikit-learn for model training and evaluation.
• Familiarity with evaluation metrics such as Accuracy, F1-score, Precision, and
Recall.
• Eagerness to learn and quickly apply new AI/ML concepts.
• Good at English communication.
Nice to have:
• Basic experience with Flask/FastAPI, Docker, or cloud platforms
(AWS/GCP/Azure).
• Previous personal or academic AI/ML projects
