AI Algorithm Engineer

Cloudnav Ai; Hong Kong; On-site; HKD 700,000 - 1,000,000; Full time

Job summary

Cloudnav Ai in Hong Kong seeks a senior AI engineer to develop, optimize, and deploy algorithms across large language models, computer vision, and multimodal AI, turning business needs into robust product features.

You will translate requirements into data processing, model training, evaluation, and inference optimization, collaborating with product, software, and hardware teams while exploring RAG, AI agents, and edge-cloud architectures to deliver scalable solutions.

Qualifications

• Master's degree or above from a university ranked among the world's top 100.
• English is the working language; Mandarin Chinese proficiency is required for daily communication and collaboration.
• Proficiency in Python and familiarity with PyTorch, TensorFlow, or other mainstream deep-learning frameworks.
• Solid foundations in machine learning and deep learning, together with relevant project experience in LLMs, NLP, computer vision, speech, multimodal AI, or reinforcement learning.
• Strong engineering implementation, problem-solving, and cross-functional collaboration skills.
• For candidates with exceptional technical achievements, engineering capability, or industry experience, the academic criterion may be flexibly extended to candidates whose relevant subject is ranked among the world's top 100.

Responsibilities

• Develop, optimise, and deploy algorithms involving large language models, computer vision, machine learning, and multimodal AI.
• Translate business requirements into data processing, model training, evaluation, inference optimisation, and continuous iteration.
• Explore technical solutions involving RAG, AI agents, model fine-tuning, knowledge bases, and edge-cloud collaboration.
• Work closely with product, software, and hardware teams to transform AI capabilities into stable, scalable product features.
• Track industry and academic advances, and assess technical direction and practical value in the context of business needs.

Skills

Python

NLP

ML

Cross-functional collaboration

English working language

Mandarin communication

Multimodal AI

Computer Vision

Education

Master's degree or higher from top 100 university

Tools

PyTorch

TensorFlow

Containerisation

APIs

Job description

• Develop, optimise, and deploy algorithms involving large language models, computer vision, machine learning, and multimodal AI.
• Translate business requirements into data processing, model training, evaluation, inference optimisation, and continuous iteration.
• Explore technical solutions involving RAG, AI agents, model fine-tuning, knowledge bases, and edge-cloud collaboration.
• Work closely with product, software, and hardware teams to transform AI capabilities into stable, scalable product features.
• Track industry and academic advances, and assess technical direction and practical value in the context of business needs.

Requirements

• A master's degree or above from a university ranked among the world's top 100.
• English is the working language; Mandarin Chinese proficiency is required for daily communication and collaboration.
• Proficiency in Python and familiarity with PyTorch, TensorFlow, or other mainstream deep-learning frameworks.
• Solid foundations in machine learning and deep learning, together with relevant project experience in LLMs, NLP, computer vision, speech, multimodal AI, or reinforcement learning.
• Strong engineering implementation, problem-solving, and cross-functional collaboration skills.
• For candidates with exceptional technical achievements, engineering capability, or industry experience, the academic criterion may be flexibly extended to candidates whose relevant subject is ranked among the world's top 100.

Preferred qualifications

• Experience with model deployment, inference acceleration, MLOps, edge AI, or embedded AI.
• Open-source contributions, research publications, competition awards, or experience taking an AI product from zero to one.
• Familiarity with cloud AI services, vector databases, containerisation, and API-based architectures.

Compensation and support

• PhD: first-year base compensation of HKD 700 k to 1,000 k, inclusive of local allowances. There is no upper limit for exceptional candidates.
• Master's degree: first-year base compensation of HKD 400 k to 700 k, inclusive of local allowances.
• A year-end bonus of no less than two additional months' salary.
• An indexed compensation plan, with annual increases no lower than local CPI, together with MPF contributions and employee insurance.
• Access to Hong Kong's major innovation and technology ecosystem, as well as innovation resources and policy support across the Greater Bay Area.
• Assistance with Hong Kong work-visa and residence-status applications for eligible candidates and qualifying dependants.
• A high-quality office environment in Kowloon Tong. For Hong Kong-based roles, single-room talent accommodation with Victoria Harbour views in West Kowloon is subsidised at 50% of market rent.