senior/ai Engineer

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About the team
The AI team at Doctor Anywhere (DA) has the responsibility to deliver the value of AI products to the users and patients across the SEA region. The team's core mission is to innovate through AI that will simplify how health care service is offered to the patients as well as improving the patient journey experience. This team works closely with product managers, software engineers, designers, and relevant business functions to develop a deep understanding of how the products can be developed and delivered.
About the role
We're seeking an enthusiastic and self-motivated Senior/AI Engineer to build a scalable AI/ML system that will impact millions of Doctor Anywhere's users and patients. You enjoy working in a cross-functional environment, collaborating with product managers, software engineers, designers, data analytics, data engineers, and business stakeholders.
What you'll do in this role:
Design, develop and maintain scalable and resilient AI/ML products, e.g. recommendations system & personalization, chatbot, search, forecasting, etc. You are responsible for end-to-end machine learning product life cycle, i.e. EDA, experimentation, model development, productionisation, evaluation, automation with CI/CD pipeline, and A/B testing.
Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our machine learning products that serve millions of DA users and businesses.
Work with large and complex data sets to solve a wide range of challenging health care problems using different analytical, statistical, and machine learning algorithms.
Identify and measure success of machine learning product efforts through goal setting, and monitoring of key metrics to understand trends.
Identify, understand, and test opportunities and levers to improve the solutions, and drive initiatives through your insights and recommendations.
Develop & conduct best practices in the AI team.
Partner with product, engineering, analytics, business, and cross-functional teams to inform, influence, support, and execute AI initiatives.
Responsible for maintaining the health of uptime SLA of the service.
Provide support to the AI manager in coaching and mentoring the more junior team members.