AI/ML Engineer

Texas Instruments
Kuala Lumpur
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningEducation: bachelorsSkills: ["Analytical problem-solving","Collaboration","Communication"]

Drive implementation of AI and machine-learning solutions to improve semiconductor back-end manufacturing operations. Collaborate with manufacturing teams, data scientists, product and process engineers to identify AI opportunities, analyze and preprocess manufacturing sensor/log datasets, and develop models for defect detection, yield improvement, process optimization, and predictive maintenance. Lead pilots and production deployments, build supporting data/AI infrastructure, and create documentation, training, APIs, and performance monitoring to ensure adoption and impact.

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FursaFursa
Texas Instruments
Texas Instruments
1 day ago

AI/ML Engineer

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Canonical indexed version, validated from employer's careers page.

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

Job Summary

Drive implementation of AI and machine-learning solutions to improve semiconductor back-end manufacturing operations. Collaborate with manufacturing teams, data scientists, product and process engineers to identify AI opportunities, analyze and preprocess manufacturing sensor/log datasets, and develop models for defect detection, yield improvement, process optimization, and predictive maintenance. Lead pilots and production deployments, build supporting data/AI infrastructure, and create documentation, training, APIs, and performance monitoring to ensure adoption and impact.
Location: Kuala Lumpur
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Identify opportunities for AI integration by collaborating with cross-functional teams and domain experts.
  • •Analyze and preprocess large manufacturing datasets from equipment, sensors, and logs for machine learning applications.
  • •Develop, deploy, and monitor AI/ML models for defect detection, yield improvement, process optimization, and predictive maintenance.
  • •Set up and manage AI development and production infrastructure, including data ingest and data transformation.
  • •Create documentation and training for production teams, and provide APIs so business customers can apply model results in operations.

Key Requirements

  • •Bachelor’s degree in computer science, Data Science, Engineering, or a related field.
  • •Strong programming skills in Python, R, or equivalent languages.
  • •Proficiency with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.
  • •Experience in Data Analytics, AI vision, or Gen-AI.
  • •Experience deploying machine learning models in production environments (including edge devices or cloud-based systems).
Experience:Semiconductor manufacturing
Education:Bachelor's
Skills:Analytical problem-solvingCollaborationCommunication
Tech Stack:PythonRTensorFlowPyTorchScikit-learnPostgreSQLOracleMySQLREST APIKafkaSparkApache NifiDataikuCassandraMongoDBHDFSJIRAJenkinsGitBitbucket

Company Brief

Texas Instruments
Designs and manufactures semiconductors and analog chips used in industrial, automotive, personal electronics, communications, and enterprise systems. It is one of the world’s largest semiconductor companies, with a broad portfolio of embedded processing and power products.
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: Dallas, United States
Founded: 1930
WebsiteLinkedIn