AI/ML Automation Intern – Quality Engineering

Pulau Pinang
Training
Full-time

14 days ago

Job Description:Overviewis 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 moreOur 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.
ResponsibilitiesKey Responsibilities:Report Optimisation & Automation

Develop programming algorithms to transform manual reporting processes into automated end-to-end workflows.
Implement solutions that extract, generate, and publish reports seamlessly using scripting and automation tools.

Big Data Analytics & Statistical Monitoring

Apply statistical methods to monitor quality performance and analyse large datasets.
Use data mining and predictive modelling techniques to uncover trends and support decision-making.

Web-Based Dashboard Development

Design and code interactive dashboards for visualising Key Quality Metrics and Key Customer Metrics such as:

OBE (Out-of-Box Experience)
OBE Downtime
CCAFR (Customer Complaint and Failure Rate)
Ensure dashboards are user-friendly, scalable, and integrated with live data sources.

AI/ML Integration

Incorporate Artificial Intelligence and Machine Learning models to enhance predictive capabilities in quality monitoring.
Explore anomaly detection, classification, and clustering techniques to identify quality risks and improvement opportunities.

QualificationsQualifications:

Currently pursuing a Bachelor’s or Master’s degree in Engineering, Computer Science, Data Science, Statistics, or a related field.
Strong foundation in programming and algorithm development, with hands-on experience in Python, R, or similar languages.
Familiarity with data visualisation tools such as Power BI or Tableau.
Understanding of statistical analysis, quality control methodologies, and big data analytics.
Experience or coursework in web development (HTML, CSS, JavaScript) is advantageous.
Exposure to Artificial Intelligence and Machine Learning (AI/ML) concepts, including:

Predictive modelling and anomaly detection.
Natural Language Processing (NLP) for automating insights.
Model training, evaluation, and deployment for real-time applications.
Ability to work independently and collaboratively in a fast-paced, digital transformation environment.
Strong analytical thinking, problem-solving skills, and attention to detail.
Passion for continuous improvement and innovation in quality processes.

Preferred Skills:

Proficiency in programming languages such as Python, R, or similar.
Experience with data visualisation tools (e.g., Power BI, Tableau).
Familiarity with machine learning frameworks (e.g., scikit-learn, TensorFlow).
Understanding of statistical analysis and quality control principles.
Knowledge of web development (HTML, CSS, JavaScript) is a plus.
Exposure to AI/ML techniques such as:

Predictive modelling for quality forecasting.
Anomaly detection in manufacturing or process data.
Natural Language Processing (NLP) for automating report generation or feedback analysis.
Model deployment for real-time quality monitoring dashboards.

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

Keysight Technologies

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