AI/ML Engineer Intern

This role is for candidates who are available to work as interns during Winter Internship 2026

Who is Sertis?

Sertis is a leading Data and AI company based in the heart of Bangkok. We provide both off-the-shelf and customized solutions for our clients ranging from data infrastructure, BI development, and data-driven business insights to forecasting, optimization, and computer vision. Our expert team of data and AI consultants work closely with clients, across different industries such as retail, manufacturing, banking, energy, airlines, agriculture, and healthcare, to understand their business needs and deliver bespoke solutions using cutting-edge technologies that are just right for them.

Our aim is to be one of the leading Data and AI companies globally, where a diverse mix of talent want to come, stay, and do their best work. We pride ourselves on bringing not only the best, but also nice, talent from around the World. We recognise that our company runs on our people's hard work and dedication while maintaining a culture that encourages learning, growth opportunity, innovative contribution, and a sense of ownership.

For more information, please visit: https://www.sertiscorp.com/ 

As a Machine Learning Engineer Intern at Sertis, you will gain hands-on experience supporting the productionization of data science research and AI-driven solutions. You will work alongside experienced ML engineers to understand how AI models are deployed on diverse hardware platforms, assist in building MLOps infrastructure, and contribute to writing production-grade software for model inference. This internship is an excellent opportunity to apply your academic knowledge to real-world generative AI projects and agentic systems within a fast-paced, collaborative environment.

In this role, you will get to:

• Support cross-functional teams in understanding business requirements and contribute to designing ML solutions to address those needs.
• Assist in developing and maintaining scalable infrastructure for model training and deployment under the guidance of senior engineers.
• Help develop cloud-native APIs, pipelines, and general software components for model inference.
• Gain exposure to cutting-edge foundation models and assist in building agentic systems from scratch.
• Assist in troubleshooting and resolving issues related to generative AI models and their implementations.
• Contribute to writing and maintaining clear technical documentation.

You'll be successful if you have:

• Currently studying a Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
• A foundational understanding of machine learning concepts and the Software Development Life Cycle (SDLC).
• Good programming skills in Python, and ideally some familiarity with C++ or other languages used in ML applications.
• An awareness of Generative AI concepts and curiosity about real-world AI applications.
• Some exposure to LLM APIs such as OpenAI or Hugging Face through coursework, projects, or self-study.
• Good communication and interpersonal skills to effectively work with team members

Nice to have:

 

• A basic understanding of REST APIs and git version control; familiarity with CI/CD and MLOps principles is a plus.
• Any exposure to cloud platforms (AWS, GCP, or Azure) is a plus.
• Some familiarity with Docker and containerization concepts is a plus.

 

​This is your chance to build your career in a growing data-driven and AI industry.

 

APPLY NOW!

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