Position Details
About this role
This role involves developing and scaling AI inference platforms for GM, focusing on high-performance, reliable ML model serving. The engineer will work on distributed systems, automation, and infrastructure to support advanced AI applications.
Key Responsibilities
- Develop core platform components
- Collaborate with ML teams
- Lead technical initiatives
- Optimize model serving
- Ensure platform reliability
Technical Overview
The position requires expertise in machine learning, distributed systems, model deployment, auto-scaling, and monitoring. Technologies include Python, C++, and various AI frameworks, with a focus on scalable, reliable AI infrastructure.
Ideal Candidate
The ideal candidate is a senior AI/ML engineer with extensive experience in distributed systems, model serving, and automation. They are proficient in Python and C++, with strong problem-solving skills and a background in developing scalable AI infrastructure.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Lack of experience in distributed systems or ML infrastructure, No proficiency in Python or C++, Inability to work in a hybrid environment, No experience with model serving or auto-scaling
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