Responsibilities
Collaborate with product and engineering teams to understand business problems and design ML/AI-driven solutions.
Collect, preprocess, and transform data for model training and evaluation.
Build and validate ML/AI models (classification, regression, clustering, recommendation, NLP, etc.).
Support deployment of ML/AI solutions into production systems, ensuring scalability and performance.
Monitor, evaluate, and retrain deployed models to maintain accuracy over time.
Contribute to building end-to-end ML pipelines (from data ingestion to serving predictions via APIs).
Document methodologies and communicate results clearly to both technical and non-technical stakeholders.
Assist in A/B testing and experimentation to evaluate new product or feature changes.
Requirements:
2–3 years of experience in a data-focused role (Data Scientist, ML Engineer, or related).
Strong programming skills in Python (Pandas, NumPy, Scikit-learn; bonus if PySpark).
Good knowledge of SQL for querying large datasets.
Solid understanding of statistics (hypothesis testing, regression, probability theory).
Hands-on experience with machine learning techniques (supervised, unsupervised, and basic deep learning).
Exposure to ML deployment concepts (model serving via APIs, batch/stream inference, CI/CD for ML).
Familiarity with AI applications in fintech or payment data is a plus.
Bachelor’s degree in Computer Science, Statistics, Data Science, or related field.
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Toàn thời gian
Company
106 active jobs
VNG Campus, Z06 Đường số 13, Phường Tân Thuận Đông, Quận 7, Thành phố Hồ Chí Minh
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