AI, Deep Learning, and Data Scientists (Entry-level)
Avalanche Computing deep learning data scientists deliver amazing quality models and algorithms by combining state-of-the-art computer vision, image processing, time series analysis, and deep learning. As a data scientist/deep learning engineer on our team, you'll develop and extend these algorithms, working with the customers who made vertical AI in medical, manufacturing, construction, and so on. And make the AI model spanning the border of different cloud platforms and edges on our SaaS product.
In 5 years, whenever you see an "AI for all - application" advertisement, you see our customers; it could be your contribution too.
Note: This position needs to pass and will be trained for one year.
You have demonstrated "background knowledge" on how to build algorithms driven by machine learning, computer vision, deep learning, time-series data analysis and deep learning knowledge.
For ENTRY LEVEL, All the skills will be re-training ourselves.
The process at Avalanche Computing Inc. and Taiwan
This is a long process, it may spent more than three months.
Avalanche Computing Taiwan Inc. was funded by Nvidia USA alumni in Santa Clara, CA, USA, in 2018. The core team was established in Taipei, Taiwan at the end of 2018. After a year of collaboration with many enterprises, Avalanche Computing Taiwan Inc. was registered in February 2020. In the first month, we won the Airbus global top-10 innovation startup award in March, joined the NVIDIA global inception program, and became a part of NTUTEC. The time flies, we won several awards in global huge exhibitions at Viva Tech 2023, LTW 2022, QITC 2021, et., al.
What we do:
The barrier to entry in AI is lower than ever before, thanks to open-source software, including frameworks like TensorFlow, Keras, PyTorch, and more. However, developing specific AI applications still poses challenges for traditional companies and SMEs, as they must build data pipelines, computing environments, and AI models. But, only a few teams can help speed up the AI computing (NVIDIA team and we can do well).
To overcome these challenges (few talents, long-time waiting for computing, and a long-development cycle), we provide hyper-scale computing techniques for deep learning. Our hyper-scale computing framework is a deep-tech solution for computing technology. With our hyper-scale technology, clients can focus on innovation while we handle the rest. We offer hyper-scale architecture, multi-GPUs, distributed model training, and hyper-scale inference on 10,000+ edge devices. Clients can simply upload their AI models into our SaaS AI development tool within minutes. We call it hAIsten AI.
We also won several awards:
Our office is now in the following
Now, the SaaS product is launched in the U.S.
If you are interested in our position, please send your CV to: [email protected]