Senior AI Engineer & Team Lead, Platform & MLOps

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

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.