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Senior AI/ML Engineer – Industrial Manufacturing

KEYSIGHT TECHNOLOGIES SINGAPORE (SALES) PTE. LTD.

Singapore

On-site

SGD 80,000 - 110,000

Full time

4 days ago
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Job summary

A global leader in technology solutions is seeking an innovative AI architect to join their team in Singapore. This role involves designing and deploying AI/ML models to improve manufacturing processes. You will work with data scientists and engineers to create scalable applications that address complex challenges in electronics manufacturing. Candidates should have a degree in a relevant field, with 2-4 years of experience in AI/ML, particularly for industrial applications. Key technologies include Python, TensorFlow, and deep learning frameworks.

Qualifications

  • 2-4 years of experience in developing and deploying AI/ML models, with a strong focus on industrial applications.
  • Proficient in Python and experience with deep learning frameworks.
  • Strong understanding of statistical modeling and machine learning algorithms.

Responsibilities

  • Design, develop, train, and evaluate AI/ML models for applications in electronics manufacturing.
  • Implement robust model training pipelines and conduct rigorous model validation.
  • Collaborate with data engineers to design scalable data pipelines.

Skills

Python
Machine Learning
Statistical Modeling
Deep Learning
Problem-Solving

Education

Bachelor's degree in computer science, Electrical Engineering, Industrial Engineering or related field
Master's degree preferred

Tools

TensorFlow
PyTorch
SageMaker
Job description
A global leader in technology solutions is seeking an innovative AI architect to join their team in Singapore. This role involves designing and deploying AI/ML models to improve manufacturing processes. You will work with data scientists and engineers to create scalable applications that address complex challenges in electronics manufacturing. Candidates should have a degree in a relevant field, with 2-4 years of experience in AI/ML, particularly for industrial applications. Key technologies include Python, TensorFlow, and deep learning frameworks.
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