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
Our Machine Learning Engineers are passionate about productionizing cutting-edge data science research. Their work includes running AI models on various hardware platforms and architectures efficiently, designing and building stable MLOps infrastructure, optimizing models for deployment and writing production-ready software for model inference.
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
- Conduct experiments and analysis to evaluate model performance and identify areas for improvement in both edge and cloud computing
- Gather customer requirements during pre-sales interactions, determining project scope, creating technical diagrams, and making estimations for man-days and cloud costs
- Develop and maintain technical documentation
You'll be successful if you have:
- Past experience in software development and/or machine learning for cloud-based solutions
- Good understanding of machine learning processes and standards, as well as the SDLC
- Strong programming skills in Python, C++, or other programming languages commonly used in machine learning applications
- 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
- Ability to scope projects, define architectures, and choose technologies based on project requirements
It's a plus if you have:
- Experience working with IoT and edge devices (e.g. Android, Nvidia Jetson)
- Experience with model optimization for various hardware architectures
- Experience with computer vision applications
- Experience working with gRPC
- Understanding of low-level code performance optimization
- Knowledge and experience with GPU programming e.g. CUDA
- Professional C++ experience
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