Data Scientist Machine Learning Ops Track Ocean Network Express Vietnam Co Ltd 0212

Top 3 Reasons To Join Us The Job Design and build reproducible ML pipelines for training, evaluation, and deployment using Cloud ML platforms. Implement CI/CD pipelines for ML models using cloud-native services (Cloud Build for GCP, CodePipeline for AWS, Azure DevOps for Azure). Deploy and manage models using cloud-native services (Vertex AI, SageMaker, Azure ML) with proper IAM, encryption, and security controls. Set up automated monitoring for model drift, performance degradation, and data quality issues. Maintain model registry, versioning, and lineage tracking across development and production environments. Successfully deploy and maintain all requested models in production, ensuring smooth collaboration with data scientists for production-ready code refactoring and optimization. Establish automated retraining mechanisms for production models. Work across the cloud ML infrastructure to reduce model deployment times significantly. Your Skills and Experience Vietnamese Citizen ; Gender: Female/Male. Education: Bachelor's degree or above in Computer Science, Software Engineering, or a related field. Experience: Minimum 3 years of experience in Data Science development, including at least 1 year dedicated to MLOps. Technical Skills: Strong Python programming skills, with hands-on experience in managed ML platforms (Vertex AI, SageMaker, or Azure ML; GCP preferred). Proficiency in DevOps practices, infrastructure-as-code (Terraform), containerization (Docker), and orchestration (Kubernetes). Experience implementing CI/CD pipelines and monitoring stacks (Prometheus, Grafana, Cloud Monitoring). Solid foundation in mathematics, statistics, and machine learning principles. Super computer literacy with capability in MS Office. Key Competencies: Strong problem-solving abilities and excellent analytical skills. Good communication, presentation skill, and interpersonal skills. Fluent in comprehension, written and spoken English. Agile/scrum collaboration tools proficiency (GitHub, Jira). Work comfortably under pressure and attention to detailed. Enthusiastic, dynamic, and well-organized. Willing to meet objectives under higher pressure. Knowledge or experience in the field of Shipping, Logistic or Supply Chain Management is a plus. Why You'll Love Working Here Professional and international working environment Opportunity to work for one of the world's Top 5 industry-leading companies Performance-based salary and bonus Detailed benefits will be discussed during the interview.