Job Summary
A company is looking for a Machine Learning Infrastructure Engineer.
Key Responsibilities
- Design and build Agentic AI frameworks for orchestration of LLM-based agents in SecOps tasks
- Develop scalable LLM inference infrastructure for efficient resource management
- Create MCP servers and supporting API services for Autonomous SOC applications
Required Qualifications
- Bachelor's or Master's degree in Computer Science or a related field, or equivalent practical experience
- 2 years of experience with software development or 1 year with an advanced degree
- 2 years of experience with data structures or algorithms
- 2 years of experience in developing backend infrastructure, distributed systems, and APIs for MLOps
- Experience with cloud computing technologies, including containerization and orchestration
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