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Sertis

AI/ML Engineer Intern

2w

Sertis

Bangkok, TH · Internship · THB 180,000 – THB 360,000

About this role

Sertis is ASEAN's leading Data and AI engineering and solutions company, located in the heart of Bangkok’s Phrom Phong District. Since 2014, advanced solutions and products have powered over 400 enterprise Data and AI deployments at leading companies. As a member firm of Andersen Consulting, we integrate business strategy, digital transformation, and AI-driven technology solutions.

As a Machine Learning Engineer Intern, support the productionization of data science research and AI-driven solutions. 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.

Sertis provides productized and bespoke AI and Data solutions, optimizing data for real business results. The 140+ team has developed offerings from advanced Computer Vision accredited Global Top 20 by NIST, to eKYC for financial institutions and AI-driven agricultural safety. Projects span retail, manufacturing, banking, energy, airlines, agriculture, and healthcare.

We are data and AI pioneers dedicated to enhancing economic and social lives via technology. Our culture encourages learning, growth opportunities, innovative contributions, and a sense of ownership. As part of Andersen Consulting, we deliver best-in-class solutions while attracting diverse talent worldwide.

Requirements

  • Strong foundation in machine learning concepts
  • Proficiency in Python programming
  • Familiarity with ML frameworks and libraries
  • Understanding of model deployment and MLOps
  • Knowledge of data processing and feature engineering
  • Experience with AI model evaluation metrics
  • Interest in productionizing data science research

Responsibilities

  • Support the productionization of data science research and AI-driven solutions
  • Work alongside experienced ML engineers on AI model deployment
  • Understand deployment of AI models on diverse hardware platforms
  • Assist in building MLOps infrastructure
  • Contribute to writing production-grade software
  • Optimize ML models for enterprise applications
  • Integrate AI solutions into production environments

Benefits

  • Hands-on work with advanced Computer Vision applications
  • Exposure to eKYC, trading algorithms, and enterprise knowledge systems
  • Collaborate in a diverse 140+ team across industries
  • Culture fostering learning, growth, and ownership
  • Part of global Andersen Consulting network