Machine Learning Engineer

Bangkok

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Sertis

Sertis | Unlock the full potential of your data with cutting-edge AI and Big Data solutions, tailored to drive growth and innovation across multiple industries, brought to you by Thailand's leading AI solutions provider

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We aim to improve the World by using data and AI.

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 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.

Our Machine Learning Engineers (you) will be:

  • Researching latest trends and technologies to improve our algorithms and design a future-proof solution
  • Taking computer vision algorithms and prototypes and making them become fully-fledged applications
  • Improving existing machine learning software and optimizing models for deployment on multiple hardware and architectures
  • Deploying models to IoT devices and cloud platforms while maintaining our existing frameworks and infrastructure
  • Developing model optimization frameworks and automating model conversions and releases
  • Learning and sharing expertise with the team (documentation, code reviews, demos, etc.)

What you will need:

  • 2+ years of software development experience
  • Knowledge of multiple programming languages, ideally including Python and C++
  • Familiarity with Linux environments
  • Demonstrated understanding of deep learning and data science concepts
  • Experience with multiple deep learning frameworks (e.g. TF, Pytorch, MXNet, CAFFE, ONNX)
  • Willingness to take end-to-end ownership of problems that span across multiple disciplines and stacks
  • Be passionate about best-practices in software development

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 Docker, CI/CD, Cloud Platforms (e.g. GCP, AWS, Azure)
  • Understanding of low-level code performance optimization

 What you are like:

  • Very open-minded (eager to ask for comments/suggestions)
  • Able to share and suggest ideas
  • Have a can do and will do attitude!
  • Ready to tackle any challenge
  • Do tons of research, creativity is a plus here!
  • Have a can do and will do attitude!
  • Ready to tackle any challenge
  • Able to go shoe-less (we are a shoe-free environment)
  • Nice and outgoing; we have some pretty cool social events at work!
  • Can play musical instrument or board games is a plus!

Why Sertis?

  • We work at the frontier of innovation in the AI industry
  • Your chance to work on meaningful products that solve and improve real-life problems and challenges
  • Attractive WFH Policy
  • Up early or slow starter in the morning? We have flexible office hours
  • OKR-driven workplace; We provide direction, not orders and give you the autonomy to deliver your best work
  • Mentorship programs for every level; from executive-level coaching to fresh grad
  • 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.
  • Get to work and learn from the best in the industry, and share your ideas with like-minded individuals

Because we cultivate intelligence and learning and help people grow beyond their potential.

This is your chance to build your career in a growing data driven industry.

We seek passion and ambition to turn data into action! 

 

Want to take part in creating state of the art Machine Learning solutions?

APPLY NOW.

 

Tags: AWS Azure Caffe CI/CD Computer Vision Deep Learning Docker GCP Linux Machine Learning MXNet Nvidia Jetson ONNX Python PyTorch Research

Perks/benefits: Career development Flex hours Startup environment Team events

Region: Asia/Pacific
Country: Thailand
Job stats:  31  0  0

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