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ML Ops Engineer Job Opening In Singapore, Singapore – Now Hiring Airswift


Job description

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
#J-18808-Ljbffr

Required Skill Profession

Other General


  • Job Details

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Unlock Your ML Ops Potential: Insight & Career Growth Guide


Real-time ML Ops Jobs Trends (Graphical Representation)

Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for ML Ops in Singapore, Singapore, highlighting market share and opportunities for professionals in ML Ops roles.

655 Jobs in Singapore
655
582 Jobs in Singapore
582
Download Ml Ops Jobs Trends in Singapore and Singapore

Are You Looking for ML Ops Engineer Job?

Great news! 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: .

The Work Culture

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:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying Singapore laws and regulations

What Is the Average Salary Range for ML Ops Engineer Positions?

The average salary range for a 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.

What Are the Key Qualifications for ML Ops Engineer?

Key qualifications for ML Ops Engineer typically include Other General and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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To improve your chances of getting hired for ML Ops Engineer, consider enhancing your skills. Check your CV/Résumé Score with our free 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.

Interview Tips for ML Ops Engineer Job Success

Airswift interview tips for ML Ops Engineer

Here are some tips to help you prepare for and ace your ML Ops Engineer job interview:

Before the Interview:

Research: Learn about the Airswift's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

Follow Up: Send a thank-you email to the interviewer within 24 hours.

Additional Tips:

Be Yourself: Let your personality shine through while maintaining professionalism.

Be Honest: Don't exaggerate your skills or experience.

Be Positive: Focus on your strengths and accomplishments.

Body Language: Maintain good posture, avoid fidgeting, and make eye contact.

Turn Off Phone: Avoid distractions during the interview.

Final Thought:

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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