เกี่ยวกับตำแหน่งงาน

Job Description - Maintain, and improve infrastructure related to deployment and productionisation of machine learning (ML) models built for both internal and external use - Develop standards and protocols for deployment, QA, QC, of ML models - Consult and advise data scientists on code, structural, or architectural improvements to ML models - Build and maintain monitoring, anomaly detection, incident management infrastructure and protocols including but not limited to data quality, various types of model drift, A/B testing of model updates - Troubleshoot and implement long-term solutions to problems related to deployed ML/optimization models. Requirements - A hacker’s mindset – the ability to build simple but clever and elegant solutions to new problems within significant resource, operational and time constraints through deep understanding of the business, creative problem solving, and a wide range of expertise in data, analytics, automation, programming, and prototyping. - Ability to read, understand, and implement algorithms, approaches, and methods from published research. - Knowledge of systems design and architecture, software engineering, database administration, or machine learning development flow. - Good command of English.

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