We are looking for an experienced AI & Machine Learning Engineer to be based in Guangzhou, China. The ideal candidate has 5+ years of experience developing and deploying scalable AI models using Python, TensorFlow, and Keras, with strong expertise in image/video analytics and AutoML. You’ll work on industrial AI solutions, rapidly training models on GPU, deploying them via scalable APIs, and collaborating with cross-functional teams to deliver real-world impact. Experience with containerization (Docker/Kubernetes) and data pipeline integration is highly valued.
- Build high-quality and scalable algorithms for deploying AI models. - Propose, code, and implement appropriate algorithms for both internal and client-facing projects. - Collaborate with Product, Engineering, and Business stakeholders to implement new ways of accelerating the Machine - Learning deployment cycle. - Deploy training of models on GPU rapidly - Wrap codes and deliver algorithms in scalable and safe API format.
- At least 5 years of experience and strong skill sets in programming languages such as Python, JAVA, C++ and concepts such as AutoML - BS/MS/Ph.D. in CS/EE or related disciplines with strong technical knowledge in AI, image processing, and/or video analytics - Experience with container technology such as Docker and Kubernetes Strong skill sets with the following : Keras,Tensorflow, Scibit-learn, Jupyterlab / JupyterNotebook, Numpy and pandas libraries, Visualization related libraries (seaborn, matplotlib, plotly, streamlit), Strong hold on unix commands, Git, Coding project management In Addition : - Strong problem-solving skills (From understanding to implementation) Image processing concepts - Strong understanding of statistics - Supervised + Unsupervised learning concepts - Database related knowledge (MySQL, MongoDB) - REST API deployments libraries (Flask, FastAPI) - Hardware knowledge related to servers Good To Haves : - Familiar with mainstream deep learning framework (e.g., PyTorch, Caffe) and OpenCV - Team player with the ability to work in a cross-functional team - Ability to communicate technical concepts effectively to a non-technical audience - Sound Signal processing using AI models Reinforcement learning