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Agilent Technologies

Provides eProcurement automation and hosted catalogs

AI & Data Scientist - Smart Manufacturing

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeYishun, SingaporeNo salary listed

About the Job

Requirements

  • A Bachelor's, Master's, or PhD in Computer Science, Artificial Intelligence, Data Science, Statistics, Mathematics, Engineering, or a related discipline.
  • Experience applying machine learning, statistical analysis, or AI techniques to solve real-world problems through academic, research, or industry projects.
  • Proficiency in Python and SQL.
  • Strong analytical thinking and problem-solving skills.
  • Excellent communication and collaboration skills with the ability to work across multidisciplinary teams.
  • A passion for innovation and applying AI to solve business challenges.

Responsibilities

  • Develop machine learning and statistical models to improve manufacturing quality, productivity, and operational performance.
  • Analyze manufacturing and operational data to identify trends, anomalies, and optimization opportunities.
  • Apply predictive, classification, forecasting, and optimization techniques to solve business problems.
  • Translate complex business requirements into data-driven solutions.
  • Design and develop AI solutions using machine learning, Generative AI, computer vision, or optimization techniques where appropriate.
  • Prototype innovative AI applications that improve engineering and manufacturing workflows.
  • Evaluate emerging AI technologies and recommend practical applications within manufacturing operations.
  • Collaborate with software engineering teams to integrate AI capabilities into enterprise digital products.
  • Support the deployment of AI solutions into production environments with software and data engineering teams.
  • Monitor model performance and continuously improve solution accuracy and reliability.
  • Contribute to scalable AI deployment using modern cloud platforms and engineering best practices.
  • Partner with Manufacturing, Engineering, Supply Chain, Quality, and IT teams to identify opportunities where AI can deliver measurable business value.
  • Communicate analytical findings and technical recommendations to technical and business stakeholders.
  • Support enterprise digital transformation initiatives across global manufacturing sites.
  • Stay current with emerging technologies in Artificial Intelligence, Machine Learning, and Data Science.
  • Participate in proof-of-concept initiatives and technology evaluations.
  • Contribute to the continuous evolution of Agilent's Industrial AI capabilities.

Desired Qualifications

  • Experience in Manufacturing or Industrial Analytics is advantageous.
  • Experience in Computer Vision is advantageous.
  • Experience in Time-Series Analytics is advantageous.
  • Experience in Generative AI or Large Language Models is advantageous.
  • Experience with Cloud-based AI Platforms is advantageous.
  • Experience with MLOps is advantageous.
  • Experience in Industry 4.0 or Smart Manufacturing is advantageous.

About the Company

Agilent Technologies

Provides eProcurement automation and hosted catalogs

Agilent Technologies provides eProcurement services that help businesses buy supplies more efficiently. It offers a suite of electronic procurement tools that let clients load their pricing into existing purchasing platforms, access a hosted catalog, and complete transactions digitally without paper. The service connects pricing data to clients’ procurement systems, delivers an online catalog, and supports automated, paperless purchasing workflows. This makes purchasing faster and reduces manual steps. Compared with competitors, Agilent emphasizes automation, quick connectivity between pricing, catalogs, and purchasing platforms, and a reliable, scalable experience backed by its broad product range. The company aims to improve client productivity and lower procurement costs, helping customers buy what they need more easily while keeping prices clear and consistent.

Company size
10,001+
Company stage
IPO
Headquarters
Santa Clara, CA
Founded
1999

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