Principle AI Engineer
1 month ago
Responsibilities:
- Building and integrating cloud-native technologies and architectural approaches
- Leading the development of AI system and frameworks
- Building develop, deploy, manage and monitor tool sets for AI system
- Collect,organize and analyze monitor data to find the bottleneck of the application
- Deploy and operate self-built AI systems
- Help the team improve AI skills and grow together
- Customer support and help customers analyze and solve problems and bottlenecks in customer AI systems and applications
Requirements:
- Bachelor’s degree in a related field (e.g., Information Technology, Computer Science, Engineering) or equivalent experience.
- 20+ years of experience in optimizing system design, complexity analysis, software design in Unix/Linux systems, performance, and application issues
- Very familiar with AI model training, reasoning and tuning, and has very rich practical experience
- Be familiar with AI-related hardware and development trends, and keep up with hardware development trends
- Familiar with Kubernetes and have extensive practical
- Rich experience in data processing and big data related industries
- Strong verbal and written communication and teamwork skills.
- Fluency in English and Chinese (Mandarin) to communicate with local customers and teams.
Tell employers what skills you have
Microsoft Azure
Kubernetes
Strong Attention To Detail
Big Data
Hardware
Architectural
Unit Testing
Technical Direction
3D
Tuning
Assortment
Structural Engineering
System Design
Software Design
C#
Teamwork Skills
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