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Micron Technology

Makes memory and storage chips for AI and PCs

Principal AI Engineer - SMAI

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeHyderabad, Telangana, IndiaNo salary listedIn-person

About the Job

Requirements

  • A Bachelor's or Master's degree in Computer Science, Software Engineering, Data Science, or a related field; equivalent industry experience is accepted.
  • At least 12 years of experience building and shipping production web or artificial intelligence applications end to end.
  • Experience developing and deploying web applications, application programming interfaces, or data-driven solutions.
  • Hands-on experience with at least one cloud platform: Amazon Web Services, Azure, or Google Cloud Platform.
  • Strong programming skills in Python and modern Angular/TypeScript.
  • Knowledge of data architecture, including data structures and schemas, plus strong SQL writing and comprehension skills.
  • Experience with Docker, Kubernetes or OpenShift, and continuous integration and continuous delivery development practices.
  • Working knowledge of generative artificial intelligence technologies, including prompt engineering, Retrieval-Augmented Generation, large language model integration, agentic artificial intelligence concepts, model evaluation, and Responsible AI practices.
  • Ability to apply artificial intelligence literacy and digital fluency to use AI-enabled tools responsibly and effectively for research, analysis, content creation, problem-solving, operational tasks, automation, and business outcomes.
  • Knowledge of machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.
  • Knowledge of prediction and classification algorithms, deep learning, reinforcement learning, and generative artificial intelligence.

Responsibilities

  • Design and build end-to-end artificial intelligence solutions, including data ingestion pipelines, feature engineering, model training and inference, application programming interfaces, web applications, and observability capabilities.
  • Develop responsive front-end applications using React, Angular, or Streamlit, backed by Python and FastAPI services, with type-safe development and test coverage practices.
  • Support the development and implementation of machine learning and artificial intelligence models for structured and unstructured data.
  • Support the development of analytics and artificial intelligence solutions that improve manufacturing and operational decision-making.
  • Support the integration of large language models and agentic artificial intelligence capabilities into manufacturing and engineering workflows.
  • Support the integration of robotics platforms, autonomous mobile robots, tool automation systems, control systems, and the Micron manufacturing execution system ecosystem.
  • Develop and maintain containerized applications using Docker and deploy solutions through Kubernetes or OpenShift environments.
  • Work with data platforms and modeling environments to support scalable artificial intelligence application development.
  • Build, train, and deploy predictive machine learning models.
  • Contribute to continuous integration and continuous delivery pipelines and automated software release processes using tools such as GitHub Actions.
  • Support monitoring, drift detection, model evaluation, and feedback-loop implementation for production artificial intelligence applications.
  • Apply Responsible AI practices, including input validation, prompt-injection prevention, personally identifiable information and intellectual property protection, model governance, and audit logging.
  • Support application and model optimization to improve performance, reliability, scalability, and cost efficiency.
  • Support testing, debugging, technical documentation, installation, and maintenance activities for artificial intelligence and software solutions.
  • Integrate AI-assisted tools and insights into daily work while complying with organizational standards, legal requirements, and governance policies.
  • Identify, test, and share AI-enabled enhancements within the assigned scope of work.
  • Build and execute end-to-end machine learning systems that automate training, testing, and deployment of machine learning models in cloud platforms.

Desired Qualifications

  • Experience in semiconductor manufacturing, industrial automation, or smart manufacturing environments.
  • Exposure to MLOps, machine learning model deployment, or enterprise artificial intelligence applications.
  • Familiarity with manufacturing execution systems, Industrial Internet of Things, or equipment automation systems.
  • Experience building artificial intelligence agents.

About the Company

Micron Technology

Makes memory and storage chips for AI and PCs

Micron Technology designs and manufactures memory and storage chips, mainly DRAM and NAND flash, used in data centers, PCs, phones, cars and industrial equipment. It is one of only three companies that make HBM, the stacked high-bandwidth memory placed beside processors in AI servers, and it is the largest memory chipmaker based in the United States. Unlike chip designers that outsource production, Micron runs its own fabs and assembly sites in the United States and across Asia. It earns money by selling chips, memory modules and solid-state drives to cloud providers, device makers and distributors. Micron was founded in 1978 and is headquartered in Boise, Idaho.

Company size
10,001+
Company stage
IPO
Headquarters
Boise, ID
Founded
1978

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