Process Automation Engineer (AI / ML Ops / Data Science Vertical) – Business Intelligence

Shopee • Commerce • Python • SQL • 7 hours ago
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Salary
≈ $13k – $37k per year (Estimated)
Location
In office (Manila)
Seniority
Junior · 2+ years exp

Confirmed on the employer's own hiring board on Sep 24, 2026. First seen by Alion on Sep 24, 2026.

Overview
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Shopee

Shopee is a multinational technology company and e-commerce marketplace platform operating as a subsidiary of Sea Limited. The company provides a hybrid B2C and C2C digital marketplace offering retail products, integrated digital payments and financial services via ShopeePay/SeaMoney, and end-to-end logistics and fulfillment solutions through SPX Express. Headquartered in Singapore, the platform serves millions of consumers and merchant partners across Southeast Asia, Taiwan, and Latin America.
shopee.com • HQ: Singapore • Commerce • Est. 2015
  • Lead feature strategy for ML and LLM projects
  • Work closely with business teams (Ops, SPX, Risk, SCommerce) to translate messy operational processes into structured model inputs
  • Own EDA, outlier detection, feature construction, and normalizations
  • Design robust logic to handle entity overlaps
  • Evaluate data leakage, overfitting risks, and data quality issues before ML engineers build pipelines
  • Partner with ML engineers to hand off model-ready datasets with clear logic
  • Contribute to experimentation plans and model evaluation metrics
  • Support knowledge documentation and AI governance compliance
  • 2-5 years experience in data science, machine learning, or quantitative analytics
  • Strong background in statistics, feature engineering, anomaly detection, and time series
  • Proficient in Python, SQL, Jupyter (bonus: Spark, Hive, PyTorch, or XGBoost)
  • Able to work in ambiguous, high-stakes environments (logistics, fraud, finance, risk, etc.)
  • Strong communicator - can explain why a feature matters to business users and engineers
  • Familiarity with ML lifecycle, but comfortable focusing on upstream data/feature quality
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