About the role
AI summarisedThis is a senior AI Engineer role at a maritime company in Singapore, focusing on building and deploying end-to-end AI/ML pipelines in production environments. The role involves collaborating with data scientists, implementing MLOps practices, optimizing model inference, and integrating AI models into enterprise systems using cloud services.
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 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