About the role
AI Engineer (Software Development) role based on the published job description. Key responsibilities and requirements were extracted directly from the posting for quick review.
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. 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
Requirements
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related quantitative field.
- 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.
- Experience working in regulated industries maritime in Singapore is advantageous.
- Strong communication and interpersonal skills.
- Ability to manage multiple projects and deliverables simultaneously