Machine Learning Engineer Manager

TEKsystems Global Services, LLC; Hong Kong; On-site; HKD 1,200,000 - 2,000,000; Full time

Job summary

TEKsystems Global Services, LLC in Hong Kong seeks a hands-on Machine Learning Engineering Manager to lead production-grade ML, Agentic AI and LLM initiatives across international markets.

You will mentor engineers, define architecture, and collaborate with Data Scientists, LLM Engineers, frontend and platform teams to scale the AI platform from concept to production, ensuring reliability and cost controls.

Qualifications

• Experience in bringing ML/AI solutions to production.
• Experience leading or managing technical engineering teams.
• Strong Python engineering background.

Responsibilities

• Lead and mentor a team of ML and AI engineers.
• Drive productionization of ML models, LLMs and AI agent workflows.
• Define technical architecture and engineering best practices for the AI platform.
• Collaborate with Data Scientists, LLM Engineers, frontend and platform teams.
• Develop scalable backend services using Python, FastAPI and Async Python.
• Oversee integration between frontend applications, AI agents and data platforms.
• Improve reliability, monitoring and performance of production AI systems.
• Monitor agent execution, API latency and LLM costs.
• Promote testing, observability and production support.

Skills

Machine Learning Eng

AI Engineering

MLOps

Backend Engineering

Team leadership

Python

Architectural direction

English and Chinese communication

Tools

LangGraph

LangChain

Langfuse

Python

FastAPI

Async Python

Pydantic

pytest

Grafana

PostgreSQL

Databricks

Job description

• Build Production-Grade Agentic AI – Work with LangGraph, LangChain and LLMOps to take AI solutions from concept into real producti
• High Technical Ownership – Shape the architecture, solve complex problems independently, an work closely with Data Scientists and
• Work for one of the world’s largest international health & beauty retailer, with operation in multiple markets.

The Opportunity

We are looking for an experienced Machine Learning Engineering Manager to join the Data & AI function of a leading global organisation.

You will lead and help scale a team responsible for building production-grade Machine Learning, Agentic AI and LLM solutions. The AI platform is continuing to expand across multiple business units and international markets, including Europe.

This is a hands-on leadership position suited to someone who can provide technical direction, influence architecture and mentor engineers while remaining close to the technology.

Key Responsibilities

• Lead and mentor a team of Machine Learning and AI Engineers
• Drive the productionization of ML models, LLMs and AI agent workflows
• Define technical architecture and engineering best practices for the AI platform
• Work closely with Data Scientists, LLM Engineers, frontend and platform teams
• Guide the development of scalable backend services using Python, FastAPI and Async Python
• Oversee integration between frontend applications, AI agents, model services and data platforms
• Improve the reliability, monitoring and performance of production AI systems
• Monitor areas including agent execution, API latency and LLM costs
• Drive strong engineering practices around testing, observability and production support
• Help scale the platform across different business units and international markets

What We're Looking For

• Strong experience in Machine Learning Engineering, AI Engineering, MLOps or Backend Engineering
• Previous experience leading or managing technical engineering teams
• Strong hands‑on Python engineering background
• Experience with FastAPI, Async Python, Pydantic and pytest
• Proven experience taking AI/ML solutions into production
• Understanding of Agentic AI, Generative AI, LLMs and LLMOps
• Exposure to LangGraph, LangChain and Langfuse
• Strong SQL skills with experience in technologies such as PostgreSQL and Databricks
• Understanding of monitoring and observability technologies such as Grafana
• Ability to provide technical direction while giving engineers ownership
• Strong Chinese and English communication skills