Machine Learning Engineer (HCMC)
On-siteHo Chi Minh City, Ho Chi Minh City (HCMC), Vietnam
Job Summary
Own end-to-end design, development, and deployment of ML models for credit scoring, fraud detection, and profit optimization. Build and customize AGI agents aligned to specific credit objectives, taking full accountability for their performance outcomes. Monitor deployed systems in production to track metrics, detect data drift, and trigger retraining cycles before quality degrades. Partner with product and engineering stakeholders to translate ambiguous business challenges into well-scoped ML problems, communicating model logic to both technical and non-technical audiences. Submit a resume and cover letter detailing your interest and alignment with Trusting Social's values.
Required Qualifications
- Minimum 2 years of experience in a machine learning engineering, software engineering, or applied ML role within IT, Computer Science, Banking, or Finance
- Hands-on experience building and deploying ML systems end-to-end: training pipelines, model serving, feature stores, and monitoring infrastructure
- Strong software engineering fundamentals: clean code, system design, version control, and CI/CD for ML workflows
- Strong English communication skills (spoken and written — professional fluency required)
- High adaptability and comfort operating in fast-paced, ambiguous environments
Desired Qualifications
- Familiarity with unsecured personal loans, credit cards, or other bank-related financial products
- Experience with big data processing frameworks (Spark, Hive, etc.)
- Startup or fast-paced tech environment background
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