Staff Engineer - Machine Learning (AI)

Location: Singapore office

Company

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

What you will do

• Track assigned machine learning experiments in MLflow and prepare structured evaluation reports.
• Validate training data through feature distribution checks, label verification, and anomaly detection.
• Build and train CNN-based models for image classification and defect detection.
• Compare model configurations, analyze training runs, and contribute to evaluation cycles.
• Package models with Docker, contribute to CI/CD scripts, and support inference and deployment validation.

Requirements

• Singapore office location and full-time availability.
• Bachelor's or Master's degree in AI, Machine Learning, Computer Science, Electrical Engineering, Applied Mathematics, or a related field.
• Fresh graduate to one year of experience; a strong ML project or thesis is required, while research internship experience is preferred.
• Strong Python proficiency with NumPy and Pandas, plus foundational PyTorch skills.
• Understanding of CNNs, surrogate modeling, active learning, model evaluation, MLflow, and Docker.
• Evidence of self-directed learning and the ability to learn new concepts quickly.

Nice to have

• Exposure to U-Net, Vision Transformers, uncertainty quantification, or Bayesian methods.
• Experience with time-series or sensor data, reinforcement learning, retrieval-augmented generation, or LLM projects.
• AWS fundamentals or entry-level cloud ML deployment experience.

Culture & Benefits

• Work with AI engineers and researchers on scientific problems in precision product development.
• Receive direct mentorship from experienced engineers and researchers.
• Contribute to production-oriented ML systems used in real product development environments.
• Join an inclusive workplace focused on diversity, belonging, respect, and contribution.