About LINE MAN Wongnai

LINE MAN Wongnai is Thailand’s Leading On-Demand Delivery and Lifestyle e-Commerce platform services. We build technology to help Thai people live better, to empower all local businesses by creating an end-to-end food ecosystem through our channel LINE MAN and Wongnai. Connected consumers, riders, and local businesses and improved the daily life of all parties with restaurants nationwide. And because we are local, we provide the deepest variety and services that are tailor-made for Thai people.

We are currently looking to hire several Machine Learning Engineers to join us on this exciting journey and working in a fast-paced environment, you will bring your expertise and skills to tackle the challenges that impact millions of people on our journey to become the No.1 food platform in Thailand.

What you’ll Do:

  • Building, maintaining, and improving infrastructure related to deployment and productionisation of machine learning (ML) models built for both internal and external use
  • Developing standards and protocols for deployment, QA, QC, of ML models
  • Consulting and advising data scientists on code, structural, or architectural improvements to ML models
  • Building and maintaining 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.

What you’ll Need:

  • 0-3 years of experience in systems design and architecture, software engineering, database administration, or machine learning development flow.
  • 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.
  • A good understanding of systems architecture, and the ability to implement this understanding in maintenance and deployment of ML models scalably.
  • Ability to read, understand, and implement algorithms, approaches, and methods from published research
  • Familiar with Python/Go in production environments.
  • Familiarity with Apache Spark is a plus.