Data Scientist Machine Learning Ops Track - Virtual

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.