AI Research Engineer

About HyperGAI

HyperGAI is an applied AI research company innovating in multimodal generative AI technology and solutions. Our vision is to be the leading AI provider of Multimodal Generative (GenAI) solutions that empower individuals to unlock their creativity and improve workplace productivity. We are a fast-growing Generative AI deep-tech startup, founded by globally renowned AI thought leaders and a group of exceptional AI experts, talented researchers and experienced engineers. The growth and success of HyperGAI are driven by our amazing employees who believe in the same mission and live with our core values of agility, innovation, trust and one-team. Join us! https://www.hypergai.com/

As a key member of our AI team, your primary responsibilities will revolve engineering challenges around building high-quality multimodal models, systems and tools that can advance state-of-the-art generative AI models and capabilities. In this role, you will be expected to:

· Build high-quality multimodal datasets (text, image, video, etc) through a variety of channels, including web data crawling from the internet, manual annotation from human, automatic data generation using deep learning models, etc.

· Create UI, tools and systems for data acquirement, pre-processing, labelling, filtering, viewing, and storage.

· Collaborate closely with our AI researchers, actively participating in deep learning model training and evaluation.

· Collaborate with a group of data annotators, set the requirements for data annotation and closely monitor the annotation quality.

The candidate will possess the following qualifications:

· A minimum of three years of professional experience in AI engineering, software development, data science, or a related field.

· Proficiency in Python, with hands-on experience in PyTorch.

· Proven expertise in building well-balanced and diverse datasets.

· Strong knowledge of developing a web crawler for data extraction from the internet, utilizing Python or other programming languages.

· Able to implement a simple UI for data visualization via Streamlit, Gradio or other available tools

· Experience with using multimodal deep learning models, etc.

· (Bonus) Passionate about building innovative AI models and products.

How to Apply:

Interested candidates please click APPLY NOW, or email an updated copy of your resume/cv. Your resume should INCLUDE:
- Personal Particulars
- Education background
- Work experiences in point forms
- All reasons for leaving
- Current and Expected salary
- Date of availability / Notice Period

We regret that only shortlisted candidates would be notified. Your Profile may be kept in our database for more career opportunities. We wish you all the best in your job search.

Contact us at Email: [email protected]