AI Engineer

Micron Technology
Hyderabad
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningSkills: []

Design, develop, and deploy AI and machine learning solutions at scale, including deep learning models for computer vision, speech recognition, and multimodal foundation models. Build agentic AI capabilities and speech-to-text and voice analytics systems. Create signal processing and time-series analytics pipelines, and deploy models for edge and embedded devices. Implement AWS-based AI architectures and support AI MLOps and CI/CD model lifecycle management, including evaluation and responsible AI practices.

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FursaFursa
Micron Technology
Micron Technology
3 days ago

AI Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 16 hours agoStatus: Live

Job Summary

Design, develop, and deploy AI and machine learning solutions at scale, including deep learning models for computer vision, speech recognition, and multimodal foundation models. Build agentic AI capabilities and speech-to-text and voice analytics systems. Create signal processing and time-series analytics pipelines, and deploy models for edge and embedded devices. Implement AWS-based AI architectures and support AI MLOps and CI/CD model lifecycle management, including evaluation and responsible AI practices.
Location: Hyderabad
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •Design, develop, and deploy AI and ML solutions at scale for computer vision, speech recognition, signal analytics, and intelligent automation.
  • •Develop and evaluate neural network architectures including CNNs, Transformers, ViTs, Whisper-based ASR models, multimodal models, and foundation models.
  • •Contribute to agentic AI solutions using reasoning, planning, orchestration, and autonomous task execution.
  • •Design and implement speech-to-text systems, voice analytics pipelines, and audio AI capabilities.
  • •Deploy and manage AI models across edge devices and embedded systems, and build AWS-based AI architectures and MLOps/CI/CD pipelines with security and responsible AI evaluation.

Key Requirements

  • •Design and develop deep learning models for computer vision, speech recognition, and multimodal/foundation model use cases.
  • •Develop and evaluate neural network architectures such as CNNs, Transformers, and Vision Transformers (ViTs).
  • •Build speech-to-text systems, voice analytics pipelines, and audio AI capabilities.
  • •Create signal processing and time-series analytics pipelines for sensor data and industrial telemetry, including edge inference workloads.
  • •Implement AWS-based AI architectures and AI MLOps capabilities for model lifecycle management, CI/CD, and responsible AI evaluation/testing.
Tech Stack:AWSSageMakerBedrockLambdaStep FunctionsIoT CoreGreengrassNVIDIA JetsonRaspberry PiARMCNNsTransformersVision Transformers (ViTs)WhisperMultimodal modelsFoundation modelsAgentic AIMLOpsCI/CDComputer vision

Company Brief

Micron Technology
Designs and manufactures semiconductor memory and storage solutions, including DRAM, NAND, and NOR flash, for computing, networking, mobile, and automotive markets worldwide.
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: Boise, United States
Founded: 1978
Glassdoor
Glassdoor: 3.7
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