A leader in Shipping and Logistics company is currently expanding and looking for highly qualified candidates for the
Machine Learning Ops Engineer
position based in Singapore.
Responsibilities
Develop and maintain end-to-end ML pipelines for training, evaluation, and deployment
Deploy and manage models on platforms like Vertex AI, SageMaker, or Azure ML, ensuring robust security and scalability
Set up automated monitoring to detect model drift, performance issues, and data anomalies
Maintain model registries and ensure proper versioning and lineage tracking
Transition proof-of-concept models into production-grade systems
Build and optimize cloud ML infrastructure to accelerate deployment cycles
Collaborate with cross-functional teams to ensure model reliability and performance in live environments
Qualifications
Bachelor’s degree or higher in Computer Science, Software Engineering, or a related field
Minimum 3 years of hands-on experience in MLOps or ML infrastructure roles
Strong proficiency in Python and DevOps practices
Experience with managed ML platforms (Vertex AI, SageMaker, Azure ML)
Skilled in containerization (Docker) and orchestration (Kubernetes)
Familiarity with CI/CD tools and monitoring stacks (e.g., Prometheus, Grafana, Cloud Monitoring)
Airswift cares deeply about equity, diversity and inclusion, and we actively seek talent from diverse and underrepresented groups.
Please do send your CV to us if you meet most, but maybe not all of the requirements.
Job Details
Seniority level: Associate
Employment type: Full-time
Job function: Information Technology
Industries: Maritime Transportation and Transportation, Logistics, Supply Chain and Storage
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