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 ranging from data infrastructure, BI development, and data-driven business insights to forecasting, optimization, and computer vision. 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.

Our aim is to be one of the leading Data and AI companies globally, where a diverse mix of talent want to come, stay, and do their best work. We pride ourselves on bringing not only the best, but also nice, talent from around the World. We recognise that our company runs on our people's hard work and dedication while maintaining a culture that encourages learning, growth opportunity, innovative contribution, and a sense of ownership.

For more information, please visit: https://www.sertiscorp.com/

Overview of the job

Our Machine Learning Engineers are passionate about efficiently running cutting-edge AI models on a variety of hardware platforms and architectures. You will work closely with AI Researchers and Software Engineers, making AI prototypes become production-ready software and applying state-of-the-art techniques to optimize models for deployment while maintaining accuracy.

In this role, you will get to:

• Collaborate with cross-functional teams to understand business requirements and design ML solutions to meet those needs
• Implement, and maintain machine learning models for edge devices such as cameras, drones, or IoT sensors.
• Develop and maintain scalable infrastructure for model training and deployment on either edge devices or cloud based solutions
• Conduct experiments and analysis to evaluate model performance and identify areas for improvement in edge computing and object tracking applications.
• 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
• Participate in recruitment in order to evaluate and interview candidates, as well as improving our recruitment processes

You'll be successful if you have:

• 4+ years of experience in developing and deploying machine learning models for edge devices and/or cloud based solutions in a production environment
• Strong programming skills in Python, C++, or other programming languages commonly used for machine learning and computer vision applications
• Proficiency in computer vision algorithms for object detection, recognition, and tracking
• Experience with hardware and software integration of camera systems and edge devices, including knowledge of image sensors, optics, and processing units
• Ability to optimize and deploy models for real-time processing and low-latency applications on edge devices
• Experience using Docker for containerization and deployment of applications in a production environment
• 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
• Leadership skills and ability to mentor junior and mid-level Machine Learning Engineers
• Experience with a deep learning framework (e.g. TF, Pytorch, MXNet, CAFFE, ONNX)

It's a plus if you have:

• Experience working with IoT and edge devices (e.g. Android, Nvidia Jetson)
• Experience with deep learning compilers (e.g TVM, XLA, Glow)
• Experience with deep learning accelerators (e.g. TPU, NPU, DLA)
• Experience with deep learning optimization frameworks (e.g. TRT, TFLITE, MACE)
• Experience with CI/CD, Cloud Platforms (e.g. GCP, AWS, Azure)
• Understanding of low-level code performance optimization
• Knowledge and experience with GPU programming e.g. CUDA

What are some of the benefits of working at Sertis? 

• Hybrid working environment
• Up early or slow starter in the morning? We have flexible office hours
• Learning support- to help you build your skillset and grow your career
• Get to work and learn from the best in the industry, and share your ideas with like-minded individuals
• ​We cultivate intelligence and learning so that our experts can become community leaders in their respected fields in the tech industry
• Amazing colleagues to enjoy company social outings, parties, and events
• Result-oriented workplace; We provide direction, not orders and give you the autonomy to deliver your best work
• We work at the frontier of innovation in the AI industry
• Work on meaningful solutions that solve and improve real-life problems and challenges
• We run like a startup, and embrace the adventure; we focus on getting things done, while still having a down-to-earth and informal culture

APPLY NOW!