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Tier-1 brand, desirable AI title, metro location, and broad full-stack MLOps requirements increase applicant competition.
Strong semiconductor fab dataset context and Micron-specific data ecosystem raise domain specificity and background sensitivity.
Extensive required skills across cloud, Vertex AI, MLOps, and fab-data platforms imply strict technical screening.
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Provide technical consulting and hands-on support to Fab teams for solution design, troubleshooting, and deployment.
Design, build, and manage cloud-based data pipelines and machine learning models using GCP technologies including Vertex AI and MLOps tools.
Develop production-grade full-stack applications, APIs, and CI/CD pipelines while collaborating across data science, engineering, and Fab teams.
Experience with GCP cloud services like BigQuery, GDML/SMAPI, and Vertex AI is required.
Strong skills in developing and deploying machine learning models using modern MLOps practices.
Proficiency in full-stack application development including front-end frameworks (Angular) and dashboard tools (Streamlit/Omelek).
Work Experience Required: Not explicitly mentioned in the JD.
Technical consultant and hands-on implementer comfortable supporting Fab manufacturing environments and multi-functional teams.
Skilled in scalable data engineering, advanced analytics, and deployment of AI/ML solutions on cloud platforms at petabyte-scale.
Experienced in building APIs, integrating applications securely, and implementing automated CI/CD pipelines in Agile development environments.