Overview
AI/ML Engineer responsible for architecting, building, and maintaining end-to-end AI/ML pipelines and integrating AI models into enterprise systems while ensuring governance, ethics, and regulatory compliance.
Responsibilities
- 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.
Qualifications
- Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or a related quantitative field.
A PhD is a plus.
- Minimum of 5-7 years of professional experience in AI/ML model development, AI/MLOps, and cloud-based deployment, with at least 3-4 years focused on building and deploying machine learning models and AI solution in a production environment.
- Proven track record of taking AI/ML projects from concept to deployment and monitoring.
- Experience 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.
Our Address And Working Hours
Seatrium Pioneer Yard, 50 Gul Road Singapore
(Island wide transport provided)
Mon - Thu: 8am - 5:15pm, Fri: 8am to 4:30pm
Interested candidates are invited to send an updated resume with 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 Limited and our group of companies shall be used for 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 Personal Data Protection Act 2012.
Job Function and Industry
- Engineering and Information Technology
- Shipbuilding
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