Doctor Anywhere Vietnam

Tóm tắt công việc

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.

• A Bachelor or Master in a quantitative field (Computer Science, Engineering, etc).
• Experience of 3-9 years in AI, Machine Learning, Data Science roles.
• Strong technical hands-on experience in Python.
• Solid knowledge of Machine Learning fundamental i.e. knowledge of models variant and use cases, end-to-end ML lifecycle process, model development, model selection, hyperparameter optimisation, feature engineering, evaluation, etc.
• Strong hands-on experience in Machine Learning algorithms & libraries like Tensorflow, Pytorch, Keras, Scikit, Pandas.
• Hands-on experience in three or more of the following AI topics: NLP, recommendation systems, predictive analytics, computer vision, search.
• Good hands-on experience in git, building CI/CD pipelines.
• Experience on how to operate docker images in microservice architecture.
• Experience in cloud platform GCP or AWS.
• Experience in MLOps platform e.g. MLflow, or Kubeflow.
• Hands-on experience in SQL.
• Experience in GenAI/LLM.
• Have a growth mindset, self-driven, high motivation & curiosity to learn.
• Experience delivering and driving action based on data-driven insights.
• Strong analytical skills and proven experience working with complex & large data. 
• Proven track record on delivering end-to-end ML projects: identifying impactful use cases, effort estimation, EDA, solution & model development, performance evaluation, deployment, and models monitoring. 
• Proven track record of operating independently, stakeholder management, demonstrating creativity, and delivering results.
• Self-driven & a team player, very good communication skills.