AI/ML Technologist

Intel
India
Workplace: HybridFull timeFunction: Data Science & Machine LearningExperience: 7+ yearsSkills: []

Lead AI/ML efforts to modernize client platform technologies, focusing on debug and power/performance optimization workflows. Build scalable AI/ML architectures and design agentic, self-orchestrating agents for analysis and continuous improvement. Develop power and performance analytics using telemetry data to enable anomaly detection and bottleneck identification. Partner with hardware, software, and platform engineering teams to integrate AI-driven solutions into production ecosystems with MLOps best practices.

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FursaFursa
Intel
Intel
2 months ago

AI/ML Technologist

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 14 hours agoStatus: Live
Reposted: similar role first listed 1 week ago

Job Summary

Lead AI/ML efforts to modernize client platform technologies, focusing on debug and power/performance optimization workflows. Build scalable AI/ML architectures and design agentic, self-orchestrating agents for analysis and continuous improvement. Develop power and performance analytics using telemetry data to enable anomaly detection and bottleneck identification. Partner with hardware, software, and platform engineering teams to integrate AI-driven solutions into production ecosystems with MLOps best practices.
Location: India
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Define and implement scalable AI/ML architectures to modernize platform technologies, debugging, and power/performance workflows.
  • •Design and develop autonomous agent systems that self-orchestrate debugging, analysis, and optimization with continuous learning.
  • •Build power and performance analytics frameworks to monitor, predict, and optimize power efficiency and system performance.
  • •Leverage ML models and telemetry data for actionable insights including anomaly detection and performance bottleneck analysis.
  • •Collaborate with hardware, software, and platform engineering teams to integrate AI-driven solutions into existing ecosystems.

Key Requirements

  • •Define and implement scalable AI/ML architectures for platform technologies, debugging, and power/performance workflows.
  • •Build intelligent autonomous agents (agentic AI, autonomous systems, multi-agent frameworks) for self-orchestrating debugging and optimization tasks.
  • •Develop analytics frameworks using telemetry data to monitor, predict, and optimize power efficiency and system performance metrics.
  • •Use ML models and performance modeling to deliver insights for system-level optimization, anomaly detection, and performance bottleneck analysis.
  • •Proficiency in Python (AI/ML, data pipelines) with strong C/C++ knowledge for system-level, performance-critical components; familiarity with MLOps and production deployment of AI systems.
Experience:7+ years
Education:
Tech Stack:PythonC/C++PowerShell

Company Brief

Intel
Designs and manufactures semiconductor chips, processors, and related hardware for PCs, data centers, networking, and embedded applications, while providing software and services to accelerate computing across industries globally.
Industry: Electronics Manufacturing
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Santa Clara, United States
Founded: 1968
Glassdoor
Glassdoor: 3.8
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