Machine Learning Engineer

Keysight Internet Infrastructure; Penang; On-site; MYR 40,000 - 80,000; Full time

Job summary

An innovative company is seeking a talented individual to leverage machine learning and knowledge engineering to tackle real-world business challenges. This role involves collaborating with cross-functional teams to develop solutions that drive efficiency and innovation. You will apply your expertise in programming languages like Python, R, and Java, along with ML frameworks such as TensorFlow and PyTorch, to create impactful models. Join a forward-thinking organization that values diversity and encourages creativity, where your contributions will help shape the future of technology and drive significant business outcomes.

Qualifications

• Minimum degree in computer science, machine learning, or AI.
• Strong business analysis skills to interpret needs into system requirements.
• Good understanding of machine learning techniques with practical experience.

Responsibilities

• Work closely with end users in a data-driven environment.
• Apply machine learning techniques to solve real business problems.
• Manage end-to-end delivery of solutions and engage stakeholders.

Skills

Python

R

Java

Machine Learning

Business Analysis

Knowledge Engineering

Collaboration Skills

Education

Degree in Computer Science

Degree in Machine Learning

Degree in Artificial Intelligence

Tools

TensorFlow

PyTorch

Scikit-learn

AWS

Azure

Google Cloud

Job description

Overview

Keysight is on the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization. Our ~15,000 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 powerful, award-winning culture embraces a bold vision of where technology can take us and a passion for tackling challenging problems with industry-first solutions. Diversity, equity & inclusion are integral parts of our culture and drivers of innovation at Keysight. 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

• Work closely with experienced end users in a data-driven environment.
• Apply knowledge engineering and machine learning techniques to solve real business problems with Python, R, Java. TensorFlow, or other related technical skillsets
• Participate in the end-to-end analysis process, from discovery to final solution delivery.
• Translate business requirements into knowledge engineering or AI-related problems and propose potential solutions based on data understanding.
• Develop knowledge engineering/optimization models.
• Assist in identifying and exploring new business opportunities.
• Manage the end-to-end delivery of solutions and engage stakeholders.
• Stay up-to-date with AI techniques and technologies.
• Assist Data Scientists/Analysts in research, experimentation, development of new approaches in high value projects deliveries.
• To work in team collaboration on data mining, visual/descriptive analytics, machine learning, cloud computing platforms (AWS, Azure), using any suitable statistical/numerical techniques.
  
  

Qualifications

Careers Privacy Statement

***Keysight is an Equal Opportunity Employer.***

• Holds a minimum degree in computer science, machine learning, artificial intelligence, or related.
• Possess strong business analysis skills to interpret business needs and translate them into system requirements.
• Have a good understanding of knowledge engineering and machine learning techniques, with practical experience preferred.
• Competent in platform development and familiar with programming languages and database handling.
• Technical skillset:
• Programming languages: Python, R, Java
• ML frameworks and libraries: TensorFlow, PyTorch, Scikit-learn
• Cloud computing platforms: AWS, Azure, Google Cloud
• Ability to work in cross-functional teams.
• Outstanding collaboration, interpersonal, and communication (written and verbal) skills in English.