Machine Learning Engineer - Remote - Across Southeast Asia
About the role
Senior ML Engineer (remote across Southeast Asia, posted in Makati) owning end-to-end design, development, and production delivery of machine learning and AI-powered solutions, including a decision-intelligence platform with LLM/RAG where it adds value.
What you'll do
- Own, manage, enhance, and support the client’s decision-intelligence platform as the foundation of AI/ML delivery.
- Own model selection, feature engineering, and evaluation strategy across client engagements.
- Design, build, deploy, monitor, and support ML and AI services in production from data ingestion through modelling, API, and dashboard validation.
- Integrate LLM and RAG capabilities where they add value, applying prompt engineering and fine-tuning as required.
- Implement MLOps practices for model versioning, monitoring, retraining, and performance management.
- Act as the client-facing technical expert during pre-sales, discovery, and delivery phases.
Requirements
- 6+ years building and shipping production ML/data systems in Python — services owned through deploy, monitoring, and incident response.
- Strong applied probability and statistics: Bayesian inference, time-series forecasting, and a working grasp of causal inference.
- Production-grade software engineering: typed Python, pytest, CI gating, schema migrations, API design (FastAPI or equivalent), SQL (PostgreSQL), and at least one columnar/OLAP store.
- Demonstrated ability to generalise a system across multiple problem domains rather than special-casing each.
- Industry experience in pharmaceuticals or life sciences is highly regarded.
About NPAworldwide
NPAworldwide is a recruiter network posting this remote Southeast Asia ML Engineer role for a client that builds a decision-intelligence platform across multiple industries.
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