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JOB DESCRIPTION Architect, build, and maintain end-to-end AI/ML pipelines (data ingestion, preprocessing, training, deployment, predictive analytics / monitoring). Collaborate with data scientists and domain experts to operationalize experimental models, optimizing for performance, scalability, and latency to ensure high-quality datasets. Implement and advocate for AI/MLOps practices (CI/CD for ML, model versioning, feature stores) using modern tools. Optimize model inference for production environments (e.g., using TensorRT, ONNX, pruning, quantization). Write robust, testable, and maintainable code in a collaborative setting using GitHub. Integrate AI models into enterprise systems using APIs and cloud-native services (AWS, Azure). Ensure models meet business objectives while adhering to ethical AI and governance frameworks. Provide technical support and training to users. Troubleshoot and resolve system issues. Participate in business analysis and technical design sessions. Ensure compliance with industry regulations. Document system processes and present progress reports. Collaborate with team members and other departments to ensure smooth operation. JOB REQUIREMENTS Bachelor’s in Computer Science, Artificial Intelligence, or a related quantitative field. Experience in AI/ML model development, AI/MLOps, and cloud-based deployment. Proven track record of taking AI/ML projects from concept to deployment and monitoring. Interest working in regulated industries maritime in Singapore is advantageous. Excellent analytical and problem-solving abilities. Strong communication and interpersonal skills. Ability to manage multiple projects and deliverables simultaneously. Location(s): Seatrium (SG) Pte. Ltd. Pioneer Yard 50 Gul Road, Singapore 629353 (Islandwide transport provided) Interested candidates are invited to send us an updated resume with your current and expected salary and earliest availability. We regret that only shortlisted candidates will be notified. Please note that your personal data disclosed to Seatrium (SG) Pte. Ltd. and our group of companies, shall be used for the purposes of evaluation, and processing in accordance with our recruitment processes and policies. By providing your personal data, you have consented to the aforesaid purpose under the provisions of the Personal Data Protection Act 2012. BUSINESS UNIT Seatrium Limited
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.