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Strong brand, popular ML title, mid-level experience, metro location, and broad skill requirements increase competition.
Core ML, Python, and production skills are transferable, but Databricks/Fabric and domain tooling add specificity.
Explicit 5+ years requirement plus required ML platform and production skills makes filtering strict.
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Design, develop, and productionize machine learning models on modern data platforms (Databricks, Microsoft Fabric) to support APAC business decisions.
Create and optimize automated pipelines for data processing, model deployment, and monitoring, ensuring scalability and reliability.
Collaborate with stakeholders across regions to deliver statistically sound insights and implement agentic, autonomous workflows.]},{
Bachelor’s degree in Data Science, Statistics, Computer Science, or related field; Master’s preferred.
Minimum 5 years of experience in machine learning or related roles with end-to-end project delivery.
Proficient in SQL, Python, Databricks, Microsoft Fabric, and Power BI; strong statistical and ML algorithm skills.
Must be able to demonstrate technical expertise during interview across data modeling, evaluations, and ML algorithms.
Experienced in operating and maintaining ML platforms and automation pipelines supporting scalable deployment.
Comfortable working across multiple regions and collaborating with cross-functional teams to integrate ML solutions.
Familiarity with NLP, Agentic models, Generative AI, model monitoring, and CI/CD pipelines is highly advantageous.