Machine Learning Engineer

NOV


Date: 11 hours ago
City: Taman Senai
Contract type: Full time
Job Description

 JOB DESCRIPTION

  • Collaborate with Cross-Functional Teams: Work closely with various operation teams to develop, deploy and maintain machine learning models and computer vision algorithms aimed at enhancing manufacturing efficiency, productivity and improve decision making.
  • Design and implementation: Design and implement machine learning models and computer vision systems for quality control, defect detection, and process optimization within manufacturing environment.
  • Application Development: Develop user-friendly applications to facilitate the deployment and utilization of machine learning models and computer visions systems in production settings.
  • Testing and Validation: Conduct rigorous testing and validation of deployed models to ensure their accuracy, reliability, and effectiveness in real-world scenarios.
  • Documentation: Create and maintain comprehensive documentation for machine learning models, computer vision systems and deployment processes to ensure transparency and reproducibility.
  • Project Updates: Participate in regular team meetings and provide updates on project progress, share insights, and collaborate on problem-solving strategies.
  • Ensure on-time delivery of the tasks and projects.
  • Meeting and exceeding management and peers' expectation on the department services quality.

JOB REQUIREMENT

  • Degree in Computer Science, Data Science, Electrical Engineering (or a related field)
  • Strong programming skills in Python, R or other relevant languages.
  • Experience with machine learning frameworks such as TensorFlow, PyTorch, or Keras.
  • Familiarity with computer vision libraries like OpenCV.
  • Knowledge of application development and deployment tools.
  • Understanding of data manipulation tools like Pandas and NumPy.
  • Excellent problem-solving skills and attention to detail.
  • Ability to work independently and as part of a team.
  • Strong communication skills to effectively convey technical concepts.

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