Principal Engineer - Machine Learning (AI)

Location: Singapore office

Company

hirify.global builds storage systems and infrastructure for AI-driven data centers, cloud platforms, and enterprise environments.

What you will do

• Build, train, evaluate, and maintain CNN, U-Net, and ViT models for automated inspection and measurement.
• Own model performance through ablation studies, confidence calibration, monitoring, and degradation escalation.
• Develop real-time anomaly detection for sensor and time-series data, including statistical baselines, threshold calibration, and drift alerting.
• Implement surrogate model pipelines and active learning systems, configure acquisition functions, and integrate versioned feature sets.
• Define the data contract between data engineering and ML systems, validate datasets, and escalate data quality issues before training.
• Maintain model versions, training pipelines, containers, MLflow tracking, CI/CD contributions, and production documentation while mentoring junior engineers.

Requirements

• Bachelor’s or Master’s degree in AI, Machine Learning, Computer Science, or a related field.
• 1–3 years of hands-on ML engineering experience or equivalent depth from internships, academic research, or open-source contributions.
• Strong Python proficiency and proficient-to-expert PyTorch skills for independent model training and evaluation.
• Strong computer vision foundation with hands-on experience in CNNs and at least one of U-Net or segmentation, ViT or transformer-based vision, or time-series anomaly detection.
• Experience with surrogate modeling, active learning, data-to-model interfaces, model evaluation, uncertainty analysis, and technical documentation.
• Practical MLOps experience with MLflow, Docker, Git, and basic CI/CD contributions.

Nice to have

• PINNs implementation, Bayesian methods, uncertainty modeling, or reinforcement learning fundamentals.
• AWS fundamentals including S3, EC2, and SageMaker.
• RAG pipeline fundamentals.

Culture & Benefits

• Work on AI infrastructure and storage systems operating at global scale.
• Inclusive environment focused on diversity, belonging, respect, and contribution.
• Accessibility support is available throughout the application and hiring process.