Intel

AI/ML Technologist

Intel
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15 hours ago
Bengaluru, IndiaSenior

Responsibilities

  • Define and implement scalable AI/ML architectures for platform, debugging, and power-performance workflows.
  • Design autonomous agents and multi-agent systems for debugging, analysis, optimization, and continuous decision-making.
  • Develop analytics frameworks to monitor, predict, and optimize power efficiency and system performance.
  • Use ML models and telemetry data for anomaly detection, system optimization, and performance bottleneck analysis.
  • Collaborate with hardware, software, and platform engineering teams to integrate AI-driven solutions.

Requirements

  • Strong background in machine learning, deep learning, and AI system design.
  • Experience with agentic AI, autonomous systems, or multi-agent frameworks.
  • Knowledge of platform technologies, system debugging, and power/performance optimization workflows.
  • Proficiency in data analytics, performance modeling, optimization techniques, cloud platforms, distributed systems, and scalable pipelines.
  • Experience with MLOps and production deployment of AI systems.
  • Exposure to reinforcement learning, decision systems, or adaptive agents.
  • Proficiency in Python, strong knowledge of C/C++, and familiarity with PowerShell scripting.
  • Understanding of memory, CPU, GPU, system architecture, and system/software/hardware interaction debugging.
  • Minimum 7+ years of experience with a bachelor’s degree or 8+ years with a master’s degree in Computer Science, Electronics, or a related field.

Benefits

  • Hybrid work model allowing employees to split time between the assigned Intel site and off-site work.
  • Shift 1 schedule in Bangalore, India.

Tech Stack

CC++PowerShellPython

Categories

Intel

About Intel

10,000+ employees

Intel is a public semiconductor company that designs and manufactures CPUs and other silicon for PCs, servers, networking, edge, and embedded systems, and also offers foundry services plus AI and graphics accelerators. Founded in 1968 and headquartered in Santa Clara, it sells primarily to OEMs, cloud providers, and device makers worldwide. Its portfolio includes x86 processors (Core and Xeon), Ethernet and chipset products, and the Mobileye autonomous driving platform.

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