About the role

AI summarised

This AI Engineer role at a maritime company in Singapore involves architecting and maintaining end-to-end AI/ML pipelines, operationalizing models, and implementing MLOps practices. The position requires a Bachelor's in Computer Science or related field, experience in AI/ML development and cloud deployment, and strong analytical skills.

IndustrialFull-timeGeneral

Key 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.

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.