AI Engineer

Tomorrow's Brain Limited; Hong Kong; On-site; HKD 480,000 - 640,000; Full time

Job summary

Tomorrow’s Brain Limited is seeking a dedicated AI Engineer to join our growing team in Hong Kong. You will design, train, and deploy ML models that power educational tools helping children recognize their unique strengths for a sustainable future.

You will build backend services and APIs, collaborate with cross-functional teams, and ensure scalable, reliable AI systems from data pipelines to production. Proficiency in Python and ML frameworks, plus SQL, Docker, and Git, are highly valued.

Qualifications

• Master's degree in Computer Science, AI, Mathematics, Software Engineering, or related highly quantitative field preferred (Bachelor's with extensive relevant experience also considered)
• Work experience in ML engineering, AI model development, or applied AI roles preferred
• Proficient in Python and backend languages: Go, Node.js, C++, or Java
• Demonstrated experiences with major ML frameworks: PyTorch, TensorFlow, and Scikit-learn
• Strong SQL and relational database design skills (PostgreSQL, MySQL), plus experience with Redis and NoSQL stores
• Demonstrated experiences in the following are advantageous: Designing distributed systems, handling concurrent requests, and managing asynchronous task queues (Kafka, RabbitMQ); Serving models in production environments and understanding the complexities of GPU vs. CPU serving; Proficiency with data processing libraries (Pandas, NumPy); Strong command of Git, Docker, bash scripting, and CI/CD pipelines
• High motivation and meticulous attention to detail with a strong sense of responsibility
• Strong ability to prioritize tasks and work effectively under pressure
• Excellent analytical and problem-solving skills with willingness to learn and apply new technologies for overall technical improvement
• Ability to work independently and collaboratively within a team

Responsibilities

• Design, train, fine-tune, and validate machine learning/deep learning models using appropriate datasets and evaluation metrics
• Deploy trained models into production environments, ensuring scalability, low latency, and reliability across applications and systems
• Monitor deployed model performance, retrain or fine-tune based on real-world feedback, and maintain version control for models and datasets
• Build and maintain APIs and lightweight backend services to integrate models into existing product infrastructure, working alongside backend/DevOps teams on data pipelines and database interactions
• Collaborate with cross-functional teams to translate product and user requirements into technical model specifications

Skills

Python

Go/Node.js/C++/Java

ML frameworks

SQL & Relational DBs

Redis & NoSQL

Docker & CI/CD

Git

Distributed systems

GPU/CPU serving

Pandas/NumPy

Backend API development

Education

Master's degree in Computer Science/AI/Mathematics/Software Engineering

Tools

PyTorch

TensorFlow

Scikit-learn

PostgreSQL

MySQL

Redis

Kafka

RabbitMQ

Git

Docker

Job description

Tomorrow’s Brain Limited is seeking a dedicated full-time AI Engineer to join our growing team and empower children to recognize their unique strengths for a sustainable and thriving future. If you are passionate about creating innovative technologies and educational tools that foster child development, this is an opportunity that you shall not miss!

Responsibilities:

• Model training & evaluation: Design, train, fine-tune, and validate machine learning/deep learning models using appropriate datasets and evaluation metrics.
• Model deployment: Prepare and deploy trained models into production environments, ensuring scalability, low latency, and reliability across applications and systems.
• Monitoring & iteration: Continuously monitor deployed model performance, retrain or fine-tune based on real-world feedback, and maintain version control for models and datasets.
• Backend development support: Build and maintain APIs and lightweight backend services to integrate models into existing product infrastructure, working alongside backend/DevOps teams on data pipelines and database interactions.
• Cross-functional collaboration: Collaborate with cross-functional teams to translate product and user requirements into technical model specifications.

Eligibility & Requirements:

• Master's degree in Computer Science, AI, Mathematics, Software Engineering, or a related highly quantitative field preferred (Bachelor's with extensive relevant experience also considered)
• Work experience in machine learning engineering, AI model development, or applied AI roles preferred
• Proficient in Python and backend languages: Go, Node.js, C++, or Java
• Demonstrated experiences with major ML frameworks: PyTorch, TensorFlow, and Scikit-learn
• Strong SQL and relational database design skills (PostgreSQL, MySQL), plus experience with Redis and NoSQL stores
• Demonstrated experiences in the following are advantageous:
• Designing distributed systems, handling concurrent requests, and managing asynchronous task queues (Kafka, RabbitMQ);
• Serving models in production environments and understanding the complexities of GPU vs. CPU serving;
• Fine-tuning Large Language Models; - Proficiency with data processing libraries (Pandas, NumPy);
• Strong command of Git, Docker, bash scripting, and CI/CD pipelines
• High motivation and meticulous attention to detail with a strong sense of responsibility
• Strong ability to prioritize tasks and work effectively under pressure
• Excellent analytical and problem-solving skills with willingness to learn and apply new technologies for overall technical improvement
• Ability to work independently and collaboratively within a team