Machine Learning Ops Engineer

Responsibilities

• Bridge the gap between data science and IT operations by automating the ML lifecycle from training to deployment.
• Manage the deployment and operation of models using both streaming and batch processing.
• Design and support an internal ML platform to increase data science team velocity.
• Monitor ML models in production to diagnose training/serving skew and ensure reliability.
• Implement and support data pipelines and model versioning policies.
• Write testable, modular, and maintainable code while performing regular code reviews.
• Collaborate with data scientists to support model development and integrate models into existing workflows.

Requirements

• Thai nationality is required.
• Strong Python coding and testing skills.
• Experience with frameworks such as Pydantic and Poetry.
• Familiarity with cloud providers, preferably GCP and BigQuery.
• Exceptional verbal and written communication skills in English.
• Open to recent graduates or individuals with up to 1 year of professional experience.

Preferred Qualifications

• Experience in financial services, e-commerce, credit, or high-volume, low-latency environments.
• Exposure to modern open-source or cloud provider ML platforms.
• Experience with Kubernetes and big data technologies.

Benefits

• Employee Stock Option Plan (ESOP).
• Training course and book subsidies.
• Top-of-the-line medical healthcare plan.
• Monthly wellness allowance.
• Modern office located in the heart of Bangkok.

About the Company

Honest is a financial services company leveraging cutting-edge technology to provide fintech solutions to the underserved Southeast Asia market. We are a diverse team of international professionals working in a fast-paced, quality-driven environment to build the future of finance in Asia.