ML Platform Engineer

About the Role Join Honest as a technical engineer responsible for bridging data science and IT operations. You will deploy, monitor, and maintain machine learning models in production, automate the ML lifecycle from training to deployment, and collaborate with data scientists to integrate models into workflows. Based in Bangkok, you’ll contribute in a fast-paced, quality-driven environment focused on scalable, reliable data solutions. What You'll Do

• Bridge the gap between data science and IT operations to deploy, monitor, and maintain ML models in production.
• Automate the entire ML lifecycle from training to deployment; monitor model performance for reliability and scalability.
• Collaborate with data scientists and other teams to integrate models into existing workflows.
• Manage the deployment and operation of models leveraging both streaming and batch processing.
• Delve into diverse technologies, including ML models, big data, and MLOps infrastructure, and Kubernetes to ensure seamless integration and performance.
• Write design documentation for your solution.
• Write testable, modular, maintainable code; ensure it is extensively tested and complies with common standards. Perform code reviews.
• Design and support an internal ML platform to increase data science team velocity and reduce time-to-production.
• Monitor ML models in production and help stakeholders diagnose training/ serving skew.
• Implement and support data pipelines and model versioning policies.
• Expect to be on call for incident resolution.
• Collaborate with data scientists to support model development. What We're Looking For
• This position is open to Thai nationals only.
• Ideal for recent graduates or individuals with up to 1 year of professional experience.
• Strong Python coding and testing skills and experience with common frameworks such as Pydantic, Poetry, Python linters, and type checkers.
• Familiarity with one of the common cloud providers (preferably GCP/ BigQuery).
• Collaboration is second nature to you, knowing when to collaborate and when to lead in optimizing ML operations.
• Demonstrate exceptional verbal and written communication skills in English.
• You’ll fit well in a fast-paced environment and enjoy teamwork and problem-solving. Nice to Have
• Experience in financial services, e-commerce, credit, or another high-volume, low-latency environment.
• Exposure to modern open-source and/or cloud provider ML platforms. Compensation & Benefits
• ESOP (Employee Stock Option Plan)
• Training Course and Book Subsidies
• Opportunity to work with some of the industry’s smartest people
• Modern office in the heart of Bangkok
• Top-of-the-line medical healthcare plan
• Monthly Wellness Allowance
• We value contribution and celebrate achievements as a team