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Internship
bachelor degree
Posted 23d ago
~40 hrs/week
Responsibilities
Develop and test AI-driven machine learning models for anomaly detection and proactive network monitoring. Build data pipelines and dashboards to transform network and customer data into actionable operational insights.
Requirements
Candidates must be pursuing a Bachelor's degree in Computer Science, Data Science, AI, or a related technical field. Strong proficiency in Python and a solid understanding of machine learning and data analytics are required.
Full job description
Are you ready to get ahead in your career?
We want to empower you to turn your ambitions into achievements.
We thrive in inclusiveness, diversity and embrace close collaborations for you to create impact for yourself and others.
Together, we aim to bring the best of technology to help people, businesses and the nation to be ahead in a changing world.
To realise our vision to become Malaysia’s leading converged solutions company, we are looking for a new talent to innovate and grow with us in a culture that values commitment, performance and possibilities.
Why does this job exist and why is it critical?
Are you passionate about Artificial Intelligence, Machine Learning, and data-driven problem solving? This internship offers an exciting opportunity to gain hands-on experience in developing intelligent solutions that enhance network monitoring and customer experience within a leading telecommunications company.
As telecommunications networks become increasingly complex, proactive monitoring and automated anomaly detection are critical to ensuring service quality and customer satisfaction. This role supports the development of AI-powered solutions that transform large volumes of network and customer data into actionable insights, enabling faster issue detection and smarter operational decisions.
Job Responsibilities
As a Proactive Network Experience Management Intern, you will play a key role in supporting the design, development, and implementation of AI-driven analytics and monitoring solutions. Your responsibilities include:
Developing and testing Machine Learning models for anomaly detection, prediction, and data-driven insights.
Designing, prototyping, and evaluating AI agents to automate data analysis, monitoring, and operational workflows.
Collecting, cleaning, integrating, and analyzing data from multiple sources, including network performance metrics, customer experience management (CEM) systems, and operational platforms.
Building data pipelines, dashboards, and analytical tools to support proactive network performance monitoring and decision-making.
Collaborating with engineers, data analysts, and business stakeholders to define use cases, validate model performance, and recommend improvements.
Conducting exploratory data analysis to uncover trends, patterns, and potential service issues.
Monitoring model performance and supporting continuous improvement through testing, tuning, and optimization.
Preparing technical documentation, project reports, and presentations to communicate findings and recommendations.
Supporting the evaluation of new AI technologies, frameworks, and industry best practices.
Contributing to process improvements and innovation initiatives related to AI, analytics, and automation.
Value-Added Project Opportunity
During your internship, you will have the opportunity to contribute to a high-impact project:
AI-Assisted Proactive Monitoring Tool
You will support the development of an AI-powered monitoring solution that leverages Key Quality Indicator (KQI) data from multiple sources, including:
Network performance counters
Customer Experience Management (CEM) probes
Customer complaints and feedback
External contextual data
The objective is to automatically detect anomalies at hotspot locations, identify potential service degradations before customers are significantly impacted, and provide actionable insights to support operational teams. This project offers valuable exposure to real-world AI applications in telecommunications and customer experience optimization.
Requirements
We are looking for an enthusiastic, analytical, and self-motivated individual who meets the following criteria:
Currently pursuing a Bachelor's Degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, Software Engineering, Telecommunications, Information Technology, Mathematics, Statistics, or related fields.
Strong programming skills in Python.
Knowledge of Data Analytics, data visualization, and statistical analysis techniques.
Familiarity with Machine Learning concepts, including supervised and unsupervised learning, model evaluation, and feature engineering.
Interest or experience in AI Agents, Generative AI, Large Language Models (LLMs), or intelligent automation solutions.
Strong analytical thinking, problem-solving abilities, and attention to detail.
Good communication and collaboration skills, with the ability to work effectively in a team environment.
What You'll Gain
This internship offers a unique opportunity to:
Gain hands-on experience developing AI and Machine Learning solutions in a real-world telecommunications environment.
Work on impactful projects involving predictive analytics, anomaly detection, and AI-driven automation.
Develop practical skills in data engineering, model development, AI agent design, and performance optimization.
Learn industry best practices for AI solution development, deployment, and monitoring.
Gain exposure to large-scale operational data and cutting-edge technologies used in network and customer experience management.
Internship Duration
Duration: 6 Months
Application Process
Please state your internship availability period (start date and end date) in your CV and submit your application through our career portal.
We look forward to welcoming innovative and motivated individuals who are eager to shape the future of AI-driven telecommunications solutions.
What’s next?
Once you’ve applied online, our team will carefully review your application. Due to a high volume of applications, we appreciate your patience to allow for a fair and timely review process.
Should you be shortlisted for the role, we will send you an invitation via email for a digital interview. You can also check on your application status by logging into your candidate account.
Maxis values diverse voices & people. We hire and reward our employees based on capability & performance — regardless of ethnicity, gender, age, education, religion, nationality or physical ability.
We are the leading integrated telco in Malaysia, connecting people and businesses to a world of possibilities. Tomorrow Begins Today as we make aspiration achievable today with reliable connectivity and a simple experience.
We deeply believe that the key element to our success has always been our people. To realise our shared vision to be the leading integrated telco in Malaysia, we have embedded the language of commitment, performance and possibilities to embody our culture values.
We embrace an innovative and digital-first mindset which our people thrive on, helping them realise their potential and contribute their unique skills to create amazing products and services for our customers.
Maxis Broadband Sdn Bhd: 199201002549 [234053-D]
Offices: Menara Maxis, KLCC, Off Jalan Ampang, Kuala Lumpur, 50088, MY
Mobilefixeddata & internet servicesSoftwareInternetTelecommunicationsWireless
How many Data & Analytics jobs are open in Kuala Lumpur, Malaysia right now?
There are currently 1,439 open data & analytics positions in Kuala Lumpur, Malaysia listed on Clera. New openings are added daily as companies post roles.
Which companies are hiring for Data & Analytics roles in Kuala Lumpur, Malaysia?
Companies currently hiring include PETRONAS, AIA, Prudential plc, PwC, Accenture, among others. Browse the listings above to see every active employer.
Are there remote or hybrid Data & Analytics jobs in Kuala Lumpur, Malaysia?
Yes — 394 of the 1439 open data & analytics positions offer remote or hybrid work (40 remote, 354 hybrid).
How do I apply for Data & Analytics jobs in Kuala Lumpur, Malaysia?
Each listing links directly to the employer's application page. Apply early — fresh listings get the most recruiter attention in the first two weeks.