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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 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. 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. Overview of the job As an Machine Learning / AI Engineer at Sertis , you will play a pivotal role in productionizing advanced data science research. You will be responsible for efficiently running AI models on diverse hardware platforms and architectures, designing and building robust MLOps infrastructure, optimizing models for deployment , and writing production-ready software for model inference. You will work on real-world generative AI use-cases and agentic systems, and collaborate on the development of cutting-edge autonomous, intelligent applications at scale. In this role, you will get to: Collaborate with cross-functional teams to understand business requirements and design ML solutions to meet those needs. Develop and maintain scalable infrastructure for model training and deployment. Develop cloud-native APIs, pipelines , and general software for model inference. Work with cutting-edge foundation models and build agentic systems from scratch Troubleshoot and resolve issues related to generative AI models and implementations. Engage with clients to gather requirements and ensure smooth collaboration throughout project lifecycles. Develop and maintain technical documentation. You'll be successful if you have: At least 3 years of experience as an AI/ML Engineer, past experience in Data science, Software development and/or Machine learning for cloud-based solutions. A strong understanding of machine learning processes and standards , as well as the Software Development Life Cycle (SDLC). Strong programming skills in Python, C++, or other languages commonly used in machine learning applications. Good understanding of Generative AI concepts and real-world experience developing Generative AI applications Hands-on experience with LLM APIs such as OpenAI or Hugging Face An 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 and the ability to work well in a fast-paced, collaborative environment. The ability to scope projects, define architectures, and choose technologies based on project requirements. Strong communication and interpersonal skills to effectively collaborate with clients and team members. Proven experience in providing technical mentorship and guidance to junior engineers. Strong communication skills in English *Thai citizen only* 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 #LI-SERTIS
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.
