AI/ML Platform Engineer — Production Pipelines & MLOps

Seatrium (SG) Pte. Ltd.; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Seatrium (SG) Pte. Ltd. in Singapore seeks an Architect to build and maintain end-to-end AI/ML pipelines, from data ingestion and preprocessing to training, deployment, and predictive analytics.

You will collaborate with data scientists, implement AI/MLOps practices, optimize for performance and latency, and integrate models into enterprise systems via APIs and cloud services. You will ensure governance and ethical AI compliance while supporting users and troubleshooting issues.

Qualifications

• Bachelor's in Computer Science, AI, or a related quantitative field.
• Experience in AI/ML model development, AI/MLOps, and cloud-based deployment.
• Proven track record delivering 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.

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.

Skills

AI/ML model development

MLOps

Cloud deployment

Data engineering

Problem solving

Communication

Education

Bachelor’s in Computer Science or related field

Tools

TensorRT

ONNX

GitHub

AWS

Azure

Job description

Seatrium (SG) Pte. Ltd. in Singapore seeks an Architect to build and maintain end-to-end AI/ML pipelines, from data ingestion and preprocessing to training, deployment, and predictive analytics.

You will collaborate with data scientists, implement AI/MLOps practices, optimize for performance and latency, and integrate models into enterprise systems via APIs and cloud services. You will ensure governance and ethical AI compliance while supporting users and troubleshooting issues.