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Urgent! ML Ops Engineer Job Opening In Singapore, Singapore – Now Hiring Airswift
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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Unlock Your ML Ops Potential: Insight & Career Growth Guide
Real-time ML Ops Jobs Trends in Singapore, Singapore (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for ML Ops in Singapore, Singapore using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 655 jobs in Singapore and 582 jobs in Singapore. This comprehensive analysis highlights market share and opportunities for professionals in ML Ops roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! Airswift is currently hiring and seeking a ML Ops Engineer to join their team. Feel free to download the job details.
Wait no longer! Are you also interested in exploring similar jobs? Search now: ML Ops Engineer Jobs Singapore.
An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Airswift adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a ML Ops Engineer Jobs Singapore varies, but the pay scale is rated "Standard" in Singapore. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for ML Ops Engineer typically include Other General and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
To improve your chances of getting hired for ML Ops Engineer, consider enhancing your skills. Check your CV/Résumé Score with our free Resume Scoring Tool. We have an in-built Resume Scoring tool that gives you the matching score for each job based on your CV/Résumé once it is uploaded. This can help you align your CV/Résumé according to the job requirements and enhance your skills if needed.
Here are some tips to help you prepare for and ace your job interview:
Before the Interview:To prepare for your ML Ops Engineer interview at Airswift, research the company, understand the job requirements, and practice common interview questions.
Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Airswift's products or services and be prepared to discuss how you can contribute to their success.
By following these tips, you can increase your chances of making a positive impression and landing the job!
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