Conduct research on computer vision, deep learning and AI problems
Build prototype applications in various AI domains such as computer vision, self-supervised learning, multi-modality learning, etc.
Work closely with a team of scientists and researchers to concept and iterate on software development
Develop and deploy data science prototypes, with a focus on bringing machine learning models into production
Design and implement scalable and high-performance machine learning models, with a focus on troubleshooting performance and accuracy issues
Collaborate with technical and non-technical teams locally and overseas, and present proof of concepts to stakeholders effectively
Build data cleaning and augmentation pipelines for both machine learning and deep learning model-based projects
Automate processes and workflows for efficient delivery of data science products via scripting and open source tools
Stay updated with the latest advancements in data science, machine learning, and deployment techniques
Requirements:
Degree or above in Computer Engineering, Computer Science or Engineering
At least 2 years of relevant experience from work with hands-on project experience in Computer Vision, Generative AI or LLM projects
Expertise in Python programming and using libraries for data processing, visualization, and model development, including pandas, numpy, scikit-learn, matplotlib, and seaborn
Proficient in API concepts and libraries, and experienced in utilizing them for testing and deployment, leveraging frameworks such as Flask, Django, or FastAPI
Familiar with databases (e.g., PostgreSQL, Minio) and SQL for data storage and retrieval
Understand HTML/CSS/Javascript and have experience in front-end JavaScript frameworks such as Angular or React to design web interfaces for data science prototypes
Customer oriented and able to establish link between R&D, innovations, and applications in business
Comfortable to work with local and overseas cross-functional teams
