AI/ML Technologist

Lead the design and implementation of scalable AI/ML architectures to transform platform technologies and optimize debugging and power/performance workflows.

Develop intelligent autonomous agents for self-orchestrated debugging, analysis, and optimization tasks with continuous learning capabilities.

Create advanced analytics frameworks leveraging ML models and telemetry data to monitor, predict, and optimize power efficiency and system performance.

7+ years of experience with a Bachelor's degree, or 8+ years with a Master's degree in Computer Science, Electronics, or related fields.

Strong expertise in Machine Learning, Deep Learning, AI system design, Agentic AI/autonomous systems, and multi-agent frameworks.

Proficiency in Python and C/C++ programming, and familiarity with Power Shell scripting for automation.

Experience with platform technologies involving system debug and power/performance optimization workflows.

Experience working across hardware, software, and platform engineering domains to integrate AI-driven solutions holistically.

Capability to build and deploy scalable AI/ML pipelines including MLOps and production deployment in cloud/distributed systems.

Comfortable with system-level debugging at hardware/software interaction layers and knowledge of memory, CPU, GPU, and system architecture.