Head of Machine Learning

Location: Hanoi / Ho Chi Minh City

Domain: Ride-Hailing | Machine Learning | MLOps | Data Platform

About the Role

VSF Algorithm Research & Development Team is looking for experienced Machine Learning Engineers to build and operate production-grade ML systems for GSM’s ride-hailing platform.

The role owns the end-to-end ML lifecycle, from feature engineering and model training to deployment, monitoring, automated retraining and continuous improvement, using large-scale historical and real-time ride-hailing data.

Key Responsibilities

• Build and maintain end-to-end ML pipelines covering feature engineering, training, deployment, monitoring and automated retraining.
• Design and operate Feature Store and model lifecycle management capabilities.
• Productionize ML/DS models and ensure scalability, reliability and performance in real-world environments.
• Build MLOps and CI/CD workflows for continuous model development and deployment.
• Develop batch and real-time data pipelines using Kafka, Airflow, Flink/CDC and related technologies.
• Process and analyze large-scale ride-hailing datasets to support forecasting, pricing, demand-supply optimization and other core mobility use cases.
• Collaborate with Data Scientists, Algorithm Researchers, Product and Engineering teams to bring models from research into production.

Requirements

• Strong Python and SQL skills with solid experience processing large-scale datasets.
• Strong hands-on experience deploying and maintaining ML models in production.
• Experience with ML lifecycle/MLOps technologies such as MLflow, Feature Store, CI/CD and automated model retraining.
• Experience with Kafka, Airflow and real-time/batch data processing.
• Experience with BigQuery, ClickHouse, Apache Doris or similar large-scale analytical databases.
• Strong understanding of Pandas/DataFrames and parallel processing including multiprocessing, multithreading and asynchronous programming.
• Solid foundation in Machine Learning, statistics and model evaluation.
• Experience with cloud environments such as GCP or AWS.

Preferred Qualifications

• Experience with Flink, CDC pipelines and distributed data processing.
• Experience with PyTorch/TensorFlow and Scikit-learn.
• Experience building ML systems for ride-hailing, mobility, logistics, fintech or other large-scale consumer platforms.
• MSc/PhD or research experience in Machine Learning, Computer Science, Statistics, Applied Mathematics or related fields is a plus.

Why Join Us

Work directly on large-scale, real-world ride-hailing problems at Xanh SM, where ML models have direct impact on forecasting, pricing, operations, GMV and customer experience across a rapidly scaling mobility platform.

Apply:

Kindly send your CV or Direct message to: [email protected]