Machine Learning Engineer at Sertis

Sertis, a leading Data and AI company based in Bangkok, is seeking a Machine Learning Engineer. The Machine Learning Engineer will be responsible for productionizing cutting-edge data science research, running AI models on various hardware platforms, designing MLOps infrastructure, optimizing models, and writing production-ready software.

The Machine Learning Engineer will collaborate with cross-functional teams, develop scalable infrastructure, develop cloud-native APIs and pipelines, conduct experiments, gather customer requirements, and maintain technical documentation.

Role Involves:

• Collaborating with cross-functional teams
• Developing and maintaining scalable infrastructure
• Developing cloud-native APIs, pipelines and general software
• Conducting experiments and analysis
• Gathering customer requirements
• Developing and maintaining technical documentation

Requirements:

• At least 3 years of experience in software development and/or machine learning for cloud-based solutions
• Good understanding of machine learning processes and standards, as well as the SDLC
• Strong programming skills in Python, C++, or other programming languages
• Understanding of REST APIs, git version control, CI/CD and MLOps principles
• Experience with cloud platforms such as AWS, GCP or Azure
• Experience with Docker and containerization
• Excellent problem-solving skills
• Ability to scope projects, define architectures, and choose technologies

Role Offers:

• Opportunity to work at a leading Data and AI company
• Chance to collaborate with cross-functional teams
• Involvement in developing scalable infrastructure for model training and deployment
• Exposure to cloud-native APIs, pipelines and general software