
Principle AI Engineer
- Singapore
- Permanent
- Full-time
- AI Model Development: Collaborate with data scientists to develop and refine AI models, ensuring they are optimized for production environments.
- DevOps and Infrastructure: Work with cross-functional teams to ensure seamless integration of MLOps pipelines with existing infrastructure and tools.
- Model Monitoring and Maintenance: Develop and implement monitoring and maintenance strategies for AI models in production, ensuring high performance and reliability.
- Proficiency in programming languages such as Python, Java, or C++.
- Experience with machine learning frameworks (e.g., TensorFlow, PyTorch).
- Knowledge of DevOps tools (e.g., Jenkins, Docker, Kubernetes).
- Familiarity with cloud platforms (e.g., AWS, GCP, Azure).
- MLOps Experience:
- Experience with MLOps tools and frameworks (e.g., MLflow, Kubeflow).
- Knowledge of model serving, monitoring, and maintenance best practices.
- AI/ML Expertise:
- Strong understanding of machine learning concepts, including deep learning and natural language processing.
- Experience with data preprocessing, feature engineering, and model optimization.