Improving efficiency and robustness of multi-modal cognitive systems for big data and AI powered computing enterprises
Requirements
- Experience with Transformers
- Experience with SciPy
- Experience with Scikit-learn
- Experience with LangChain
- Experience with LLMs
- Experience with PyTorch
- Experience with Github
Responsibilities
- Develop AI systems and software co-design methods and optimizations to improve both efficiency and robustness of multi-modal cognitive systems
- Work on efficient and robust AI systems based on multi-modal data, where at least two or more data modalities ranging from text, image, audio, or video are utilized
- Improve inference performance and quality of multi-modal cognitive systems
- Develop systems and AI software co-design methods and optimizations to improve both efficiency and robustness of multi-modal cognitive systems
- Utilize multi-modal data consisting of at least two or three data modalities, ranging from text to image, video, or audio
- Develop AI systems to improve both efficiency and robustness of multi-modal cognitive systems in terms of inference performance and quality
- Work on AI classification, AI for images, fine tuning, AI security
Other
- Bachelor's Degree
- Preferred education: Master's Degree
- Dedication to client success
- Innovation that matters
- Trust and personal responsibility in all relationships
- Growth minded and always staying curious
