Description
We are seeking an experienced AI Engineer to join our team in Southeast Asia. The ideal candidate will have a strong background in developing AI models and implementing machine learning algorithms. You will work closely with cross-functional teams to deliver innovative AI solutions that meet our business needs.
Responsibilities
- Develop and implement AI models and algorithms for various applications.
- Collaborate with data scientists and software engineers to integrate AI solutions into existing systems.
- Optimize AI models for performance and scalability.
- Conduct research to stay updated on the latest AI technologies and trends.
- Assist in the deployment and monitoring of AI applications in production environments.
Skills and Qualifications
Education and skills requirements
- Bachelor's or Master's degree in Data Science, Computer Science, Mathematics, Statistics, or a related field
- Advanced proficiency in Python programming with a focus on writing clean, testable and efficient code
- DevOps & Containers: Proficient with Docker for containerization and working knowledge of Kubernetes (k8s) for orchestration
- Practical understanding of GPU architecture and cloud compute instances to optimize resource allocation for training and inference workloads
- MLOPS tools: hands on experience with MLflow (or similar tools like weights & biases) for experiment tracking and model registry
- Proven experience working with Large Language Models (LLMs)
- Good understanding of AI agents & agentic workflows, LLM orchestration frameworks and reasoning patterns
- Experience with data preprocessing, feature engineering, and model selection and evaluation techniques
- Hands-on experience with CI/CD pipelines (GitLab, Jenkins)
- Knowledge of statistical and mathematical concepts relevant to machine learning, such as probability, linear algebra, and optimization
- Excellent problem-solving and debugging skills, with the ability to identify and resolve issues quickly and effectively
- Relevant work experience in machine learning, data science or a related field