SR AI Engineer

Micron Technology
Hyderabad, Telangana, India
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningSkills: ["Collaboration","Problem-solving","Technical consulting","Data analysis","Agile teamwork"]

Provide technical consulting and hands-on support to Fab teams by designing and deploying cloud-based data pipelines and building production ML solutions on GCP. Develop, train, deploy, and monitor ML models using Vertex AI and modern MLOps practices, including drift/performance monitoring and governance. Create application integrations via APIs, build full-stack dashboards, and implement CI/CD automation. Analyze large-scale manufacturing datasets and contribute to GenAI/agentic AI initiatives such as RAG.

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FursaFursa
Micron Technology
Micron Technology
2 weeks ago

SR AI Engineer

✓ Verified Job

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Source: Company careers pageValidated by: Fursa AI
Last checked: 2 hours agoStatus: Live

Job Summary

Provide technical consulting and hands-on support to Fab teams by designing and deploying cloud-based data pipelines and building production ML solutions on GCP. Develop, train, deploy, and monitor ML models using Vertex AI and modern MLOps practices, including drift/performance monitoring and governance. Create application integrations via APIs, build full-stack dashboards, and implement CI/CD automation. Analyze large-scale manufacturing datasets and contribute to GenAI/agentic AI initiatives such as RAG.
Location: Hyderabad, Telangana, India
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Consult with Fab area teams to create and/or identify best solutions, troubleshoot existing solutions, and deploy new solutions.
  • •Design and build cloud-based data pipelines for ingestion, transformation, and feature engineering on GCP.
  • •Develop, train, deploy, and monitor ML models using Vertex AI and modern MLOps practices.
  • •Build and integrate APIs for application integration, including authentication and routing/proxy patterns.
  • •Contribute to GenAI/agentic AI initiatives (e.g., Gemini LLM APIs, RAG, MCP tooling) and support pipeline governance and auditability.

Key Requirements

  • •Provide technical consulting and hands-on support to Fab area teams to identify, troubleshoot, and deploy AI/data solutions.
  • •Design and build cloud-based data pipelines for ingestion, transformation, and feature engineering on GCP using Micron data ecosystem tools.
  • •Develop and deploy machine learning models using Vertex AI and MLOps practices, including pipelines, model registry, and monitoring.
  • •Build production APIs for application integration, including authentication and routing/proxy patterns.
  • •Conduct advanced analytics on large manufacturing datasets, applying statistical modeling and supervised/unsupervised/semi-supervised learning methods.
Experience:Machine learningMLOpsCloudGenAIManufacturing
Skills:CollaborationProblem-solvingTechnical consultingData analysisAgile teamwork
Tech Stack:GCPGDWBigQuerySnowflakeGDML/SMAPIVertex AIMLOpsModel registryCloud BuildBitbucketJenkinsAzure DevOpsContainer orchestrationSQLAPIsApigeeStreamlitAngularOmelekCI/CD

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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