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Sertis is an ASEAN-focused artificial intelligence and data science consulting firm founded in 2014 and headquartered in Bangkok, Thailand. The company specializes in building enterprise-grade AI solutions, custom software, and big data architectures across industries like retail, finance, and manufacturing. Operating as a member firm of Andersen Consulting, it combines deep technical expertise in areas like computer vision and machine learning with strategic digital transformation services.

Who We Are  

Located in the heart of Bangkok’s Phrom Phong District, Sertis is ASEAN's leading Data and AI engineering and solutions company. Since 2014, our advanced solutions and products have powered over 400 enterprise Data and AI deployments at the region’s leading companies and conglomerates. We are also a member firm of Andersen Consulting, a global consulting practice integrating business strategy, digital transformation, and AI-driven technology solutions with Andersen Global’s world-class expertise.

What We Do  

Sertis provides both productized and bespoke AI and Data solutions for our Customers, optimizing and commercializing their data in ways that activate real business results. Our 140+ team have developed product offerings and IP ranging from advanced Computer Vision applications accredited Global Top 20 by NIST, to automated insights monetization for Retailers, eKYC for financial institutions, AI-driven agricultural safety assurance, precision steel cutting, trading algorithms for hedge funds, and enterprise knowledge management systems based on AI.

Our Aspiration 

We are data and AI pioneers, dedicated to enhancing the economic and social lives of our customers via technology.   We are not just living in history, we are making history everyday.  In becoming one of the world’s leading Data and AI companies, we always double-down on remaining a place where a diverse mix of talent wants to come, do their best work, and stay. We pride ourselves on bringing the best talent worldwide into a culture that encourages learning, growth opportunities, innovative contributions, and a sense of ownership. As part of Andersen Consulting, we are committed to delivering best-in-class Data and AI solutions-aligned with a global platform known for innovation, integration, and impact-while continuing to set benchmarks in the region and beyond.

For more information, please visit:sertiscorp.com

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 indeveloping and maintaining scalable infrastructure for model training and deployment under the guidance of senior engineers.
  • Helpdevelop cloud-native APIs, pipelines, and general software components for model inference.
  • Gain exposure to cutting-edge foundation models and assist inbuilding agentic systems f rom 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!

Sertis may collect, use, or disclose your personal data or personal data of other persons provided by you in order to carry out your recruitment process. For more information, please refer to our  Recruitment Privacy Notice

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