Smart Manufacturing AI Scientist

Agilent Technologies; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Agilent Technologies is seeking an AI & Data Scientist to advance intelligent manufacturing across its global network. You will develop analytics, ML, optimization, and Generative AI solutions that boost quality, productivity, equipment reliability, and supply chain performance.

You will work with software, automation, and manufacturing engineers, translating operational challenges into scalable AI applications and deploying them in cloud-native environments.

Qualifications

• Bachelor's, Master's or PhD in computer science, AI, data science, statistics, mathematics, engineering or related field.
• Experience applying ML/AI techniques to real-world problems via projects or industry work.
• Proficiency in Python and SQL.
• Strong analytical thinking and problem-solving skills.
• Excellent communication and collaboration across multidisciplinary teams.

Responsibilities

• Develop machine learning and advanced analytics models to improve manufacturing quality, productivity and performance.
• Design and implement AI solutions including generative AI, computer vision, or optimization techniques.
• Support deployment of AI solutions into production environments and monitor model performance.
• Collaborate with software and data engineers, and cross-functional teams to drive value for manufacturing operations.

Skills

Python

SQL

Analytical thinking

Communication

Collaboration

Education

Bachelor's, Master's or PhD in Computer Science / AI / Data Science / Statistics / Mathematics / Engineering

Job description

Agilent Technologies is seeking an AI & Data Scientist to advance intelligent manufacturing across its global network. You will develop analytics, ML, optimization, and Generative AI solutions that boost quality, productivity, equipment reliability, and supply chain performance.

You will work with software, automation, and manufacturing engineers, translating operational challenges into scalable AI applications and deploying them in cloud-native environments.