Role Description :
The ideal candidate will have a robust background in software development or systems engineering with a specific focus on AI and machine learning. You will play a critical role in designing, developing, and optimizing AI infrastructure solutions that meet the needs of our diverse client base.
Responsibilities :
- Design and develop AI system solutions to support the AI technology infrastructure of our clients.
- Optimize and deploy machine learning models using Nvidia GPU computing technologies such as TensorRT and CUDA.
- Architect scalable and efficient systems, ensuring seamless integration and performance.
- Implement and manage containerized applications using Docker and Kubernetes.
- Collaborate with cross-functional teams to address complex technical challenges and develop innovative solutions.
- Provide mentorship and guidance to junior engineers
- Troubleshoot and resolve system issues, ensuring high reliability and performance.
Requirements:
- 5-7 years of experience in software development or systems engineering with a focus on AI/machine learning.
- Proficiency in Python or C/C++ programming.
- Strong experience with Nvidia GPU computing, including TensorRT engine and CUDA.
- Knowledge in systems architecture. Networking is a bonus.
- Practical experience with Docker and Kubernetes.
- Excellent problem-solving skills and ability to engage in both collaborative and independent work.