Junior Data Engineer

Robert Half Hong Kong Limited; Hong Kong; On-site; HKD 900,000 - 1,500,000; Full time

Job summary

Robert Half Hong Kong Limited seeks an AI Engineering Lead/Manager to guide a team of AI and Data engineers and drive adoption of an in-house AI platform. You will oversee the full AI lifecycle from development to production and optimization.

You will lead emerging AI initiatives, foster best practices in model evaluations, prompt engineering, RAG, and MLOps, and work with cross-functional partners to balance performance, scale, and cost.

Qualifications

• 5+ years hands-on AI/ML engineering, with 2+ years in a team leadership role.
• Advanced proficiency in Python and deep learning frameworks including TensorFlow and PyTorch.
• Deep expertise in building production-grade AI applications powered by foundation LLM models.
• Practical experience with dev workflows, observability stacks, and ML orchestration platforms; strong governance skills.

Responsibilities

• Drive enterprise-wide adoption of the in-house AI platform.
• Manage the AI engineering lifecycle from development to production and ongoing optimization.
• Pilot emerging AI technologies to enable new product services and maintain a competitive edge.
• Lead a team of AI and Data engineers, fostering best practices in AI Applications, Model Evaluations, Prompt Engineering, RAG and MLOps.
• Optimize infrastructure investments to balance performance, scale, and cost.
• Align AI capabilities with business strategy through close cross-functional partnership.
• Proactively review & address AI model performance, latency, and data quality to ensure system health.

Skills

AI/ML engineering

Team leadership

Python programming

TensorFlow

PyTorch

LLM applications

MLOps

Observability

Bilingual English/Chinese

Tools

MLOps platforms

Job description

The Company
This role is an AI Engineering Lead / Manager responsible for managing a team of AI and Data engineers, driving enterprise-wide adoption of an in-house AI platform, and overseeing the full AI lifecycle (RAG, model evaluations, prompt engineering, and MLOps). It requires 5+ years in AI/ML engineering (2+ leading teams), deep Python and LLM application expertise, and fluency in English and Mandarin (Cantonese preferred).

The Role

• Drive enterprise-wide adoption of the in-house AI platform where impactful.
• Manage the AI engineering lifecycle, from development to production and ongoing optimization.
• Pilot emerging AI technologies to enable new product services and maintain a competitive edge.
• Lead a team of AI and Data engineers, fostering best practices in AI Applications, Model Evaluations, Prompt Engineering, RAG and MLOps.
• Optimize infrastructure investments to balance performance, scale, and cost.
• Align AI capabilities with business strategy through close cross-functional partnership.
• Proactively review & address AI model performance, latency, and data quality to ensure system health.

Your Profile

• 5+ years of hands-on experience in AI/ML engineering, DevOps, or MLOps, with 2+ years in a team lead or management capacity.
• Advanced proficiency in Python and deep learning frameworks including TensorFlow and PyTorch.
• Deep expertise in building production-grade AI applications powered by foundation LLM models.
• Practical experience with vibe coding workflows, observability stacks, and ML orchestration
  platforms, along with strong open-source governance skills.
• Excellent written and verbal communication skills in Chinese and English; fluency in Cantonese is a strong plus.