Machine Learning Engineer/AI Engineer
Indexed description
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.
- 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
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