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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)
Preferred Qualifications and Experience
- Minimum Experience - 7+ Years of experience with Bachelor's or 8+ years with Master's degree in Computer Science, Electronics, or related fields
- Familiarity with MLOps and production AI deployment
- Understanding of memory, CPU, GPU, and system architecture
- Debugging at system/software/hardware interaction level
Work Model for this Role
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