Senior ML Engineer
Core
Design, build, and operate scalable data pipelines, MLOps practices, and GenAI platforms to deliver production-grade Health AI solutions across Asia.
Role type
Senior Machine Learning Engineer (Health AI)
Builds
Scalable data pipelines, model serving APIs, batch inference jobs, and GenAI services for health use cases.
Domain
Health AI / Generative AI / Cloud Infrastructure
Deliverable
production ML models | product features | infrastructure
Required skills
MLOps, Python, SQL, LangChain, LangGraph, ADK, CrewAI, vector search, agentic workflows, prompt orchestration, function calling, model monitoring, CI/CD, feature engineering
Preferred skills
None stated
Technologies
Azure, Databricks, Spark, containerized environments
Responsibilities
Design scalable data pipelines and feature engineering workflows; Develop MLOps practices across the model lifecycle; Build and operate model serving capabilities and GenAI services; Partner with cross-functional teams to productionize solutions; Implement modern AI engineering patterns like RAG and agentic workflows; Improve platform reliability and cost efficiency; Create reusable engineering templates and standards.
Seniority
Senior, hands-on IC
