Process Automation Engineer (AI / ML Ops / Data Science Vertical) – Business Intelligence
Process Automation Engineer (AI / ML Ops / Data Science Vertical) – Business Intelligence
Shopee2-5 Years
Early Applicant
- Posted 2 months ago
- Be among the first 10 applicants
Job Description
Job Description:
- 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
Requirements:
- 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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