AI Software Engineer Full Time

About DragonTech artificial intelligence solutions:

At DragonTech AI Solutions, we are pushing the edges of artificial intelligence. Located in the center of China’s technological economy, we are experts in state-of-the-art artificial intelligence applications for healthcare, finance, robotics, and smart cities. Our aim is to create clever systems that raise human potential and help to solve actual challenges.
Be a member of a group of visionaries, engineers, and researchers that love to push the boundaries of what artificial intelligence can do.

Role Overview

An AI Software Engineer will be at the vanguard of creating, building, and implementing scalable AI models and systems. Working with cross-functional teams, you will convert data into usable intelligence and prototypes into production-ready solutions.
More than a coding assignment, this is an opportunity to help to define the course of artificial intelligence.

Key Responsibilities

• Make and set up machine learning models for live use.
• Work with Python, TensorFlow, PyTorch, or alike tech to shape big artificial intelligence flows.
• Work with product heads, data experts, and cloud pros to mix artificial intelligence into goods.
• Models can get better in how they work, their use of power, and their sharpness.
• Back R&D work and keep on top of new moves in artificial intelligence.
• Guide the writing of process papers and help new engineers.

Requirements

• Have a Bachelor’s or Master’s in Computer Science, AI, Machine Learning, or a related area.
• Got 3 or more years in AI and Machine Learning work.
• Good at using Python and deep learning tools.
• Know how to use cloud stuff (like AWS, Azure, or Alibaba Cloud).
• Know a lot about data setups, steps to solve problems, and how to build good software.
• Great at fixing issues and talking well.
• Good if you know Mandarin, but it’s okay if you don’t.

Top Skills

• Know-how in NLP, computer vision, or reinforcement learning.
• Know how to use MLOps tools and CI/CD setups.
• Work done on open-source AI projects or research out in public.