# **Data Scientist / AI Engineer** Location: Kuala Lumpur, Malaysia Work Mode: Onsite Employment type: Permanent Our client is a leading digital travel and lifestyle platform in Asia, connecting millions of users to a wide range of offerings. They are a prominent player in the travel industry, recognized for their innovative approach and extensive network. The company operates with a significant global presence, serving a vast customer base across numerous countries. They are committed to providing seamless and accessible travel experiences. We are seeking an experienced Data Scientist / AI Engineer to drive the development and deployment of advanced machine learning solutions. ### **Responsibilities** - Develop, improve, and deploy machine learning models and algorithms to optimize business processes and outcomes. - Perform exploratory data analysis and validate hypotheses to inform model development. - Build optimization, predictive, and statistical models to extract insights and estimate unknown outcomes. - Design and implement SQL feature pipelines and manage deployed serving endpoints. - Utilize cloud platforms, particularly Google Cloud Platform (BigQuery, Vertex AI), for model deployment and automation. - Collaborate with cross-functional teams to translate business requirements into technical solutions. - Apply statistical knowledge to business and finance-related use cases. - Interpret and communicate model results using techniques such as SHAP, partial dependence, and residual diagnostics. - Maintain code quality through version control, code review, and documentation practices. - Work with productivity tools such as G Suite, Git, Jira, and Confluence to ensure efficient project management and collaboration. - Adapt to changing priorities and work effectively under pressure while balancing speed, reliability, and interpretability. ### **Requirements** ### **Must-have:** - Bachelor’s, Master’s, or PhD degree in Business, IT, Mathematics, Science, Engineering, or a related discipline. - Up to 4 years of relevant experience beyond first degree. - 2–5 years of experience building production machine learning systems beyond notebooks and Kaggle competitions. - Strong Python programming skills. - Hands-on experience with ML frameworks such as scikit-learn, TensorFlow, or PyTorch. - Hands-on experience with Google Cloud Platform, especially BigQuery and Vertex AI. - Strong understanding of machine learning algorithms such as XGBoost, LightGBM, neural networks, and decision trees. - Good working knowledge of productivity tools such as G Suite, Git, Jira, and Confluence. - Experience in building optimization, predictive, and statistical models. - Good applied statistical knowledge, especially in business and finance-related use cases. - Experience with SQL and NoSQL databases. - Experience with SQL feature pipelines and deployed serving endpoints. - Experience with Git-based workflows, CI/CD practices, and code review discipline. - Understanding of forecasting and regression challenges, including lag feature leakage, target leakage in cross-validation, high-cardinality categorical handling, and trade-offs between MAE, MAPE, and RMSE. - Ability to interpret models using methods such as SHAP, partial dependence, and residual diagnostics. - Ability to work under pressure and adapt to change. - Ability to balance speed, reliability, and interpretability. - Ability to explain technical results clearly to non-technical stakeholders. ### **Nice-to-have:** - Experience with deep learning for tabular and time-series problems such as TFT, N-BEATS, NeuralProphet, TabPFN, and Chronos. - Experience with AutoML tools such as PyCaret for rapid baselining. - Golang experience for performance-critical services. - Experience with LLM-based or agentic tooling such as LangGraph, MCP servers, prompt engineering for structured outputs, and evaluation harnesses for LLM systems. - Familiarity with design thinking methods. - Experience with open-source tools and libraries. - Strong monitoring discipline, including drift detection and model performance tracking in production. ### **Why Join Us** - Join a dynamic and innovative team where your expertise will directly influence business outcomes and the adoption of AI-driven solutions. - Work with cutting-edge technologies, collaborate with talented professionals, and contribute to impactful projects in a supportive and growth-oriented environment. Apply Now: https://www.careers-page.com/oxy/job/93XVV5V6