AI Engineer
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
Applicants should submit application with an up-to-date C.V and cover letter with expected salary via e-mail to info@tomorrowsbrain.com. Review of applications will start as soon as possible and continue until 31 December 2026, or until the post is filled, whichever is earlier.