Machine Learning Engineer I for Misdirected Email Detection

ABNORMAL AI PTE. LTD.; Singapore; On-site; SGD 60,000 - 100,000; Full time

Job summary

Abnormal AI PTE. LTD. in Singapore is seeking a Machine Learning Engineer I to join the Misdirected Email Detection (MED) team.

This highly applied role focuses on building, iterating, and deploying practical ML solutions, not just training models. You will own the full ML lifecycle from data wrangling and feature engineering to model deployment and monitoring, collaborating with product and engineering to deliver measurable customer impact at scale.

Qualifications

• BS degree in Computer Science, Machine Learning, Artificial Intelligence, Information Systems, or a related engineering or quantitative field.
• 1+ years building and operating applied ML features in production systems.
• End-to-end ML systems: data wrangling (text and structured), feature engineering, model training, evaluation, and deployment with monitoring.
• Ability to implement and reason about algorithms, develop features, average and combine signals, and apply numerical computing.
• Interrogate production data, identify behavioral or trend shifts, and launch targeted experiments to improve model efficacy.
• Understand online vs offline pipelines, data tables and labeling workflows to support safe, scalable deployments.
• Experience running offline metrics, online A/B tests, setting thresholds, and monitoring drift with guardrails.

Responsibilities

• Partner with Product Manager, Tech Lead and engineering stakeholders to align technical deliverables to roadmap milestones and ensure successful GA launches across supported environments.
• Own the full ML lifecycle for Misdirected Email, including data wrangling, feature engineering, model training and evaluation, deployment, and monitoring. Deliver iterative improvements with measurable reliability and customer impact.
• Run rigorous experiments and evaluations (offline metrics, online A/B tests, post-launch monitoring), set thresholds, and conduct targeted error analysis to prevent regressions.
• Communicate effectively across time zones, maintain high-quality technical documentation, and contribute to shared team knowledge.
• Participate in shared on-call rotation for owned components, focusing on detection efficacy and realtime scoring systems; priorities include resolving efficacy-related alerts and addressing false positives/false negatives from customers or internal teams.

Skills

ML feature development

Data wrangling

Model deployment

A/B testing

Communication skills

Education

B.S. in Computer Science

Job description

Abnormal AI PTE. LTD. in Singapore is seeking a Machine Learning Engineer I to join the Misdirected Email Detection (MED) team.

This highly applied role focuses on building, iterating, and deploying practical ML solutions, not just training models. You will own the full ML lifecycle from data wrangling and feature engineering to model deployment and monitoring, collaborating with product and engineering to deliver measurable customer impact at scale.