AI Engineer (Software Development)
At a glance
Mid-level AI Engineering role at Seatrium. Seatrium (SG) Pte. Ltd. · full-time.
Pay not stated AI Engineer salary
aimlroles summary, based on the employer's posting.
What you'll do
- Build and maintain AI/ML workflows from data intake and preparation through training, rollout, prediction and monitoring
- Turn experimental models into working systems with data scientists and domain experts, balancing speed, scale and model quality
- Put ML delivery practices in place, including automated releases, model tracking and feature stores
- Improve production inference with TensorRT, ONNX, pruning or quantization, and connect models to enterprise systems through APIs and cloud services
- Write and test maintainable code, support users, resolve technical issues, and document processes and progress
What you bring
- A bachelor's or master's in computer science, AI or a related quantitative discipline
- Five to seven years in AI/ML development, MLOps and cloud deployment, including three to four years delivering production models and solutions
- Evidence that you have taken AI/ML work from an initial concept through deployment and ongoing monitoring
- Strong analytical and troubleshooting skills, clear communication, and the ability to handle concurrent projects
Who this fits
This role suits a mid-level AI engineer who has shipped and monitored machine-learning systems in production. The position is based at Pioneer Yard in Singapore, with Monday-to-Friday working hours and islandwide transport provided.
From the employer
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 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
Location(s):
Seatrium (SG) Pte. Ltd.
Pioneer Yard
50 Gul Road, Singapore 629353
(Islandwide transport provided)
Working Hours:
Monday – Thursday: 8:00am – 5.15pm
Friday: 8:00am – 4.30pm
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 Limited 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.