DATA SCIENTIST

Micron Technology
Singapore
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningExperience: 2-3 yearsEducation: bachelorsSkills: ["Analytical and problem-solving","Data-driven mindset","Communication","Cross-functional collaboration","Independent execution"]

Develop predictive AI and deep learning solutions for manufacturing and environmental monitoring, including computer vision for object detection, segmentation, and automated inspection. Build and deploy multimodal models using frameworks like TensorFlow and PyTorch, extract and analyze large-scale datasets from SQL/cloud and sensor networks, and apply robust outlier and missing-data handling. Lead cross-functional projects, coordinate production deployment with MLOps best practices, and translate research into practical, monitored systems.

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FursaFursa
Micron Technology
Micron Technology
4 weeks ago

DATA SCIENTIST

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Source: Company careers pageValidated by: Fursa AI
Last checked: 1 hour agoStatus: Live

Job Summary

Develop predictive AI and deep learning solutions for manufacturing and environmental monitoring, including computer vision for object detection, segmentation, and automated inspection. Build and deploy multimodal models using frameworks like TensorFlow and PyTorch, extract and analyze large-scale datasets from SQL/cloud and sensor networks, and apply robust outlier and missing-data handling. Lead cross-functional projects, coordinate production deployment with MLOps best practices, and translate research into practical, monitored systems.
Location: Singapore
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Design and implement computer vision systems for object detection, image segmentation, anomaly detection, and automated inspection, including RGB-D camera-based measurement and verification.
  • •Develop and deploy deep learning models for image classification, time-series anomaly detection, and multimodal sentiment analysis, leveraging TensorFlow, PyTorch, and Keras.
  • •Extract, cleanse, and analyze large-scale datasets from SQL databases, AWS/GCP cloud platforms, and sensor networks, applying outlier detection and missing-data handling.
  • •Coordinate MLOps production deployment using MLflow and Apache Airflow, including monitoring, data drift detection, versioning, and automated testing.
  • •Collaborate with engineering, operations, and quality teams; communicate results to technical and non-technical stakeholders; and contribute via research/publishing and technical writing/training/mentoring.

Key Requirements

  • •Bachelor’s degree in Computer Science, Data Science or AI, or a Ph.D./Master’s in Computer Science, Data Science or AI.
  • •2-3 years of hands-on experience developing and deploying scalable AI applications in manufacturing, semiconductor, or electronics industries (or 1 year with an advanced degree).
  • •Experience designing and deploying computer vision models for industrial applications, including object detection, image segmentation, and automated inspection.
  • •Strong deep learning and AI experience with CNNs, LSTM, transformer models, and generative AI using TensorFlow, PyTorch, and Keras.
  • •Python and data engineering experience including SQL, plus experience with cloud platforms (AWS, GCP) and scalable/distributed computing (e.g., Spark, Hadoop).
Experience:2-3 yearsManufacturingSemiconductorElectronicsComputer visionMLOps
Education:Bachelor's in Computer Science, Data Science or AI
Skills:Analytical and problem-solvingData-driven mindsetCommunicationCross-functional collaborationIndependent execution
Tech Stack:PythonSQLJavaC++AWSGCPSparkHadoopOpenCVYOLORGB-D camerasTensorFlowPyTorchKerasCNNsLSTMTransformer-based architecturesGenerative AIMultimodal fusionMLflow

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
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Glassdoor: 3.7
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