Supply Chain AI & Analytics Engineer

Keysight Technologies SAles Spain SL.

Kuala Lumpur

On-site

MYR 180,000 - 300,000

Full time

3 days ago
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Job summary

Keysight Technologies seeks a seasoned AI/ML professional to advance supply chain planning, inventory optimisation, and operational intelligence. You will explore generative AI, LLMs, and automation to deliver scalable, data-driven solutions across planning and operations.

Ideal candidates have 5+ years in relevant roles, strong analytics, and a passion for digital transformation and emerging technologies. The role involves cross-functional collaboration and continuous improvement of AI

Qualifications

  • Minimum 5 years in supply chain, operations, analytics, or AI/ML roles.
  • Proven track record delivering data-driven and automation projects.
  • Bachelor’s degree in AI/Data Science/CS/Engineering or related field.

Responsibilities

  • Develop and apply AI/ML solutions to optimize supply chain planning and inventory.
  • Explore Generative AI, LLMs, AI agents for business applications.
  • Lead digitalisation initiatives turning processes into scalable data-driven solutions.
  • Design automation solutions to improve productivity and efficiency.
  • Analyze business data to identify risks, opportunities, and trends.
  • Evaluate new technologies through proofs of concept and pilots.
  • Collaborate with business users, IT, and stakeholders to deliver AI and automation solutions.
  • Support adoption of data-driven decision-making across planning and operations.
  • Establish governance and continuous improvement for AI/digital initiatives.

Skills

Supply chain analytics
AI/ML concepts
Python
SQL
Digital transformation
Communication

Education

Bachelor's degree in AI/Data Science/CS/ML/Engineering/Analytics/Statistics/Mathematics or related field

Tools

Python
SQL
Pandas
TensorFlow/PyTorch

Job description

Overview

Keysight is at the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization. Our ~16,800 employees create world-class solutions in communications, 5G, automotive, energy, quantum, aerospace, defense, and semiconductor markets for customers in over 100 countries. Learn more about what we do.

Our award-winning culture embraces a bold vision of where technology can take us and a passion for tackling challenging problems with industry-first solutions. We believe that when people feel a sense of belonging, they can be more creative, innovative, and thrive at all points in their careers.

Responsibilities
  • Develop and apply AI/ML solutions to support supply chain planning, inventory optimisation, backlog intelligence, revenue management, and operational decision-making.
  • Explore and implement Generative AI, Large Language Models (LLMs), AI Agents, and emerging AI technologies for business applications.
  • Participate in digitalisation initiatives, transforming processes into scalable, data-driven, and intelligent solutions.
  • Design and implement automation solutions, including workflow automation, system integration, and process orchestration, to improve productivity and operational efficiency.
  • Analyse business data to identify risks, opportunities, trends, and actionable insights that drive business outcomes.
  • Evaluate new technologies, AI tools, and digital platforms through proof-of-concepts, innovation projects, and pilot deployments.
  • Collaborate with business users, IT teams, and cross-functional stakeholders to deliver scalable digital, automation, and AI solutions.
  • Support the adoption of AI-driven and data-driven decision-making across planning, operations, and supply chain functions.
  • Establish best practices, governance, and continuous improvement frameworks for AI, automation, and digital transformation initiatives.
Qualifications
  • 5+ years of experience in supply chain, operations, business analytics, digital transformation, automation, or AI/ML-related roles.
  • Experience delivering data-driven solutions, digitalisation initiatives, and process automation projects.
  • Proven track record in identifying business opportunities and translating them into scalable technology solutions.
  • Bachelor's Degree in Artificial Intelligence, Data Science, Computer Science, Machine Learning, Engineering, Analytics, Statistics, Mathematics, or related fields.
  • Intermediate knowledge of Python, SQL, AI/ML concepts, or Generative AI technologies.
  • Strong analytical, problem-solving, and communication skills.
  • Passion for AI, digital innovation, and emerging technologies.

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