Machine Learning Engineer

Samsung
Texas
Workplace: OnsiteFull timeUSD 90,000 - 174,500 annuallyFunction: Data Science & Machine LearningExperience: 3+ yearsEducation: bachelorsSkills: ["Cross-functional ownership","Collaboration","Model tuning","Performance optimization","Reproducible execution"]

Build and maintain ML model pipelines for anomaly detection and root cause analysis at scale. Own the end-to-end lifecycle from ingesting and transforming high-volume manufacturing time-series data with PySpark, to training, validating, deploying, monitoring, and retraining models in production. Optimize Spark performance, ensure pipelines are reproducible and auditable, and implement alerting/rollback when data quality or model metrics degrade.

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FursaFursa
Samsung
Samsung
4 days ago

Machine Learning Engineer

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Source: Company careers pageValidated by: Fursa AI
Last checked: 5 hours agoStatus: Live

Job Summary

Build and maintain ML model pipelines for anomaly detection and root cause analysis at scale. Own the end-to-end lifecycle from ingesting and transforming high-volume manufacturing time-series data with PySpark, to training, validating, deploying, monitoring, and retraining models in production. Optimize Spark performance, ensure pipelines are reproducible and auditable, and implement alerting/rollback when data quality or model metrics degrade.
Location: Texas
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Build PySpark workflows to ingest, clean, and transform high-volume manufacturing data into training/inference-ready datasets.
  • •Optimize Spark jobs by tuning partition strategies, managing executor memory, minimizing shuffles, and handling skewed joins.
  • •Design and maintain end-to-end ML pipelines for feature calculation, model training, validation, and deployment with reproducible and auditable runs.
  • •Implement and tune machine learning models for anomaly detection and root cause analysis.
  • •Manage production model lifecycle: versioning, secure artifact storage, automated retraining triggers, rollback procedures, and performance/data-quality monitoring with alerting.

Pay and Benefits

Salary: USD 90,000 - 174,500 annually
Perks:Health Insurance401k

Key Requirements

  • •Bachelor’s degree or higher in Computer Science, Software Engineering, Data Science, or a related quantitative field.
  • •3–5+ years building and maintaining machine learning systems in a professional setting.
  • •Strong proficiency in PySpark and distributed data processing, including job optimization for speed and memory.
  • •Hands-on experience with Python ML libraries for model training and evaluation (scikit-learn, TensorFlow, PyTorch, or XGBoost).
  • •Practical MLOps experience across orchestration, model versioning, experiment tracking, and deployment.
  • •Experience with monitoring and alerting for data pipelines and deployed models.
Experience:3+ yearsMachine learningDistributed data processingMLOpsAnomaly detectionRoot cause analysisTime-series dataManufacturing
Education:Bachelor's
Skills:Cross-functional ownershipCollaborationModel tuningPerformance optimizationReproducible execution
Tech Stack:PySparkSparkPythonScikit-learnTensorFlowPyTorchXGBoostMLOpsModel versioningExperiment trackingModel deploymentMonitoringAlertingFeature engineeringData pipeline orchestrationCluster management

Company Brief

Samsung
Global conglomerate known for consumer electronics, home appliances, semiconductors, displays, and mobile devices. Designs and manufactures a wide range of products and solutions for consumers, enterprises, and industrial customers worldwide.
Industry: Conglomerates & Holding Companies
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Seoul, South Korea
Founded: 1938
Glassdoor
Glassdoor: 3.7
WebsiteLinkedIn