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My client , an end-to-end IT solution provider and they are looking for a ML Engineer to join their Whampo office:-
Responsibilities:
Support customer in adapting and deploying group-level ML solutions across business units on cloud platform.
Enhance R&D code into production-grade pipelines, setting up APIs, ensuring CI/CD compliance
Collaborate with infra teams to ensure operational readiness.
Requirements:
Bachelor’s degree in business, Information Technology or relevant disciplines
At least 4 years of working experience in Data Machine Learning
Hands-on experience deploying machine learning models in cloud environments, including containerization (e.g., Docker) and orchestration frameworks
Knowledge on agent execution / testing infrastructure (LangGraph), including run lifecycle, streaming, retries, cancellation, concurrency control, evaluation, regression testing.
Strong backend engineering fundamentals for chat app (service design, AG-UI, API design, concurrency, failure handling).
Hands-on experience with distributed systems and production grade performance.
Familiarity with LLM serving patterns:
streaming responses (SSE/WebSockets)
prompt and graph versioning
Experience designing, integrating observability systems (metrics, logs, tracing) for complex agent workflows / systems. (Langfuse, Langsmith, Grafana, ELK)
Good communication skill in both spoken and written English and Chinese.
Package:
Double pay
15 days annual leave
Birthday leave
Pay days sick leave
Medical
Location: Whampoa
Whampoa-Hung Hom, Kowloon City
Hung Hom
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