ML Engineer/Retail/40-60HKD P/M/12 Months Extendable Contract

Machine Learning Engineer (Agentic AI)

Responsibilities:

• Multi-Agent Orchestration: Design and productionalize complex multi-agent systems, focusing on agent communication, task decomposition, and state management.
• Enterprise Deployment: Take full ownership of deploying agentic workflows into high-availability corporate environments, ensuring robust performance and global scalability.
• API & UI Integration: Architect high-performance FastAPI endpoints and collaborate with vendors to "connect the dots" between the AI agent and the front-end UI.
• Production MLOps: Build and maintain CI/CD pipelines, Docker containers, and monitoring systems on Azure to track agent reasoning and system health.
• Data Strategy: Optimize data ingestion and memory grounding for agents using FactorDB, SQL, and NoSQL databases to support structured and unstructured data.

Qualifications:

• Experience: 3–5 years in ML/Software Engineering with proven experience deploying AI solutions within a large-scale enterprise or corporate environment.
• Agentic Frameworks: Hands-on experience building autonomous or semi-autonomous workflows (e.g., LangGraph, CrewAI) and managing real-time AI interactions.
• Advanced API Skills: Expert proficiency in FastAPI for building asynchronous back-end services and integrating with third-party vendor tools.
• Technical Stack: Proficient in Python, Spark, and core data science packages (PyTorch, sklearn, Pandas) for model optimization and data processing.
• Engineering Rigor: Strong background in Docker, version control, and debugging distributed systems where multiple AI components interact.

Argyll Scott Asia is acting as an Employment Business in relation to this vacancy.