The Role and Impact :

We are seeking an experienced AI/ML Technologist to lead the transformation of client platform technologies, debug, and power/performance domains using advanced AI tools and machine learning techniques.

This role will drive innovation by leveraging cutting-edge Agentic AI architectures to enhance efficiency, scalability, and intelligence across client product development, debugging, and power-performance optimization workflows.

Key Responsibilities :

- Define and implement scalable AI/ML architectures to modernize platform technologies, debug, and power/performance workflows.

- Design and develop intelligent, autonomous agents capable of self-orchestrating debugging, analysis, and optimization tasks, enabling continuous learning and decision-making.

- Power and Performance Analytics : Develop advanced analytics frameworks to monitor, predict, and optimize power efficiency and system performance metrics for client products.

- Data-Driven Insights : Leverage ML models and telemetry data to deliver actionable insights for system-level optimization, anomaly detection, and performance bottleneck analysis.

- Cross-Functional Collaboration : Partner with hardware, software, and platform engineering teams to integrate AI-driven solutions into existing ecosystems.

Key Skills and Expertise :

- Strong background in Machine Learning, Deep Learning, and AI system design.

- Experience with Agentic AI / autonomous systems / multi-agent frameworks.

- Knowledge of platform technologies, system debug, and power/performance optimization workflows.

- Proficiency in data analytics, performance modeling, and optimization techniques.

- Experience with cloud platforms, distributed systems, and scalable pipelines.

- Familiarity with MLOps and production deployment of AI systems.

- Exposure to reinforcement learning, decision systems, or adaptive agents.

- Proficiency in Python (primary for AI/ML, data pipelines).

- Strong knowledge of C/C++ (for system-level, performance-critical components).

- Familiarity with Power Shell scripting (automation).

Qualifications :

- Minimum Experience : 7+ Years (Bachelor's) or 8+ years (Master's) in Computer Science, Electronics, or related fields.

- Understanding of memory, CPU, GPU, and system architecture.

- Debugging at system/software/hardware interaction level.

Work Model :

- This role is eligible for a hybrid work model allowing employees to split time between working on-site at an Intel site and off-site.