Senior AI System Engineer
il y a 3 semaines
About our client
Our client, a leading technology solutions provider based in Riyadh, serves organizations throughout Saudi Arabia and beyond. With offices in Jordan, Egypt, and Morocco, they specialize in helping businesses migrate and scale their AI technology infrastructure, achieving advanced levels of digital maturity.
We are currently recruiting a Senior AI System Engineer for our client, for a position based in Rabat, Morocco.
Job Description
The Senior AI Systems Engineer will be responsible for designing and developing AI system solutions to support clients' AI technology infrastructure. This includes optimizing and deploying machine learning models using NVIDIA GPU computing technologies, such as TensorRT and CUDA. The successful candidate will also be responsible for architecting scalable and efficient systems to ensure seamless integration and performance.
Key Responsibilities
- Design and develop AI system solutions to support clients' AI technology infrastructure.
- Optimize and deploy machine learning models using NVIDIA GPU computing technologies.
- Architect scalable and efficient systems to ensure seamless integration and performance.
- Implement and manage containerized applications with Docker and Kubernetes.
- Collaborate with cross-functional teams to address complex technical challenges and develop innovative solutions.
- Provide mentorship and guidance to junior engineers, fostering a collaborative and growth-oriented environment.
- Troubleshoot and resolve system issues to ensure high reliability and performance.
Requirements
The successful candidate for the Senior AI Systems Engineer role must possess the following credentials and experience:
- 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.
- Extensive experience with NVIDIA GPU computing, including TensorRT and CUDA.
- Strong knowledge of systems architecture and networking.
- Hands-on experience with Docker and Kubernetes.
- Excellent problem-solving skills and the ability to work both collaboratively and independently.
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