Job Description
Duties and Responsibilities
Improve models and algorithms to further optimize business outcomes.
Work across the following areas:
- Exploratory analysis: use data to suggest and prove hypotheses
- Modeling: build optimization / predictive / statistical models to learn from data and estimate the unknowns - demand and sales forecasting, dynamic pricing for ancillary products, and demand planning
- Data operations: query data, deploy models and automate pipelines in cloud
- Set up sound time-based validation and honest baselines, and prove a model beats them before it ships.
- Write clean, reviewable Python and SQL, merged through proper code review.
- Help analyze live experiments and learn to spot a misleading readout.
- Communicate findings clearly to technical and non-technical stakeholders.
- Document work so a teammate can run and extend it without you.
- Working with commercial teams to maximize the revenue by infusing AI & ML in their systems.
Requirements and Qualifications:
- BS in Physics, Mathematics, DataScience or Engineering discipline Up to 4 yrs relevant experience beyond first degree
- Experience with common data science toolkits, programming languages (.py), visualisation tools and SQL/NoSQL databases.
Machine and Deep Learning :
- Experience building production ML systems, beyond notebooks and Kaggle competitions.. Solid understanding of machine learning algorithms, XGBoost, LightGBM, neural networks, decision trees, with a clear grasp of why you tuned what you tuned..
- Strong Python and hands-on experience with ML frameworks such as scikit-learn, TensorFlow, or PyTorch..
- Demonstrable understanding of forecasting and regression pitfalls - lag feature leakage, target leakage in cross-validation, high-cardinality categorical handling, and the trade-offs between MAE, MAPE, and RMSE..
- Ability to interpret models - SHAP, partial dependence, residual diagnostics - and explain results to non-technical stakeholders without dumbing them down..
- Hands-on Google Cloud Platform experience, particularly BigQuery (window functions, partitioning, cost-aware SQL) and Vertex AI (training jobs, model registry, endpoints, pipelines)..
- Experience with propensity / take-up (purchase-probability) models and probability calibration is a plus..
- Exposure to time-series forecasting at scale (many related series), probabilistic forecasts, or demand that builds up toward a deadline is a plus..
- Nice-to-have: deep learning for tabular and time-series problems (TFT, N-BEATS, NeuralProphet, TabPFN, Chronos) AutoML tooling such as PyCaret for rapid baselining.
Algorithm Engineering :
- Strong ability to implement, improve, and deploy ML and mathematical models in Python (Golang a plus for performance-critical services)..
- Experience productionizing models end-to-end, from SQL feature pipelines to deployed serving endpoints, on GCP using Vertex AI and BigQuery..
- Conduct systems tests for security, performance, and availability of deployed models..
- Develop and maintain design documentation, error analysis runbooks, and troubleshooting guides..
- Git-based workflows, CI/CD discipline, and code review hygiene..
- Monitoring discipline : drift detection, data quality checks, model performance tracking in production..
- Nice-to-have: experience with LLM-based or agentic tooling (LangGraph, MCP servers, prompt engineering for structured outputs, eval harnesses for LLM systems)
We are all different - one talent to another - that is how we rely on our differences. At AirAsia, you will be treated fairly and given all chances to be your best.We are committed to creating a diverse work environment and are proud to be an equal opportunity employer.
Search Firm Representatives - AirAsia does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place.
