Senior Machine Learning Engineer (Production Focus), VNGGames

Building, maintaining and optimizing automated pipelines for ML includes data versioning, automated retraining, and drift monitoring. Using frameworks (e.g., Spark) to train models on massive datasets (terabytes of user behavior data). Implement data validation checks and point-in-time feature logic Building and maintaining high-throughput, low-latency APIs to serve model predictions Set up alerting for system latency and uptime. Work with Data Engineers and Data Analyst to ingest, clean and transform data into ML-ready format Bachelor in Computer Sciences/Engineering or equivalent. 4+ year of experience in the same roles. Machine learning/statistics: strong background (e.g., hypothesis testing, and error analysis) with hands-on experience in academia and/or industry Strong Programming Skills, Proficiency in Python, SQL (Go is a plus) and core ML libraries (TensorFlow, PyTorch, Scikit-learn, XGBoost, etc.) Experience designing and operating complex machine learning models and data pipelines Functional with CI/CD tools and practices. Understanding of automating build, test, and deployment processes. Documentation Skills: Strong to document data/machine learning engineering processes, architectures, and methodologies for effective knowledge transfer and maintainable systems. Have ownership of one own's project: taking pro-active actions to remove road blocks when arises Ability to run one project independently: taking requirements from stakeholders, deliver the project in a timely manner Strong communication and collaboration skills with a proven track record to work effectively in cross-functional teams Keen learner and self-motivated team player