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What they do

Sertis builds data and AI products and custom solutions for companies. It started in 2014. Its head office is in Bangkok, and it has a presence in Indonesia, Hong Kong, and Singapore. Its Postings name more than 400 enterprise deployments and a team of over 140 people. Sertis is a member firm of Andersen Consulting.

What they value

• Customer satisfaction and the delivery of value.
• Being better today than yesterday at the work.
• Integrity in all that the company does.
• Great people who are smart, not only smart people.
• Learning, growth, new ideas, and a sense of ownership.
• Teamwork as the way to the next level of success.

Where they hire

All 14 Postings are in Bangkok, Thailand. No Posting is remote, and no Posting states a remote policy. The careers site lists hybrid work as a benefit. Six Postings accept only Thai citizens or nationals. No Posting mentions visa sponsorship.

Teams and roles

The board has 14 Postings. Six of them are fixed-term contracts.

• Internships: five Postings, for an AI and ML engineer, a data scientist, a data engineer, a quality assurance (QA) engineer, and a business development intern.
• Engineering: a Machine Learning and AI Engineer for infrastructure, and a Software Quality Assurance Engineer.
• Software engineering: an Enterprise Architect and a senior mobile engineer for iOS and Android, both on contract.
• Data: a Data Engineer and a Data Analyst, both on contract.
• Product and delivery: a senior Product Manager who works at the site of an enterprise client, and a senior Project Manager, both on contract.
• Commercial: one business development role at associate to mid level.

What they look for

Most Postings ask for good or strong English. The business development internship asks for Thai and English, and the Software Quality Assurance Engineer Posting asks for native Thai. Technical Postings repeat Python, SQL, and a cloud platform: AWS, GCP, or Azure. Several also name Docker, CI/CD (automated build and release), and REST APIs.

The AI Postings ask for knowledge of generative AI and practice with LLM APIs such as OpenAI or Hugging Face. The Machine Learning and AI Engineer Posting asks for at least 3 years of experience, MLOps knowledge, work with clients, and mentoring of junior engineers. The Data Engineer Posting asks for 3 years of experience, BigQuery on GCP, and a tool such as Airflow or dbt. The QA Postings name Pytest and Playwright for automated tests.

Internship Postings ask for students in a bachelor's degree, most in computer science or a related field. The contract roles ask for more experience: 3 to 5 years for the Data Analyst, 5 years for the Project Manager, 7 years for the Product Manager, and 8 years or more for the Enterprise Architect. Communication skills repeat across the board, with clients, business stakeholders, and team members. The business development role asks for comfort with LLM tools in daily work.