About the role
AI summarisedThe AI Engineer will design, build, and maintain end-to-end AI/ML pipelines, collaborating with data scientists and domain experts to deploy scalable models in production. Responsibilities include optimizing model inference, implementing MLOps practices, integrating models via APIs into cloud platforms, and ensuring compliance with ethical and regulatory standards. The role requires strong software engineering skills, experience in regulated environments, and the ability to support users and troubleshoot system issues.
IndustrialOnsite
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
- 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
- At least 3-4 years focused on building and deploying machine learning models and AI solutions 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