AI Intern

Worldline is hiring an AI Intern in Kuala Lumpur, Malaysia. Level rates it ; you can apply on Worldline.

Level's read on this job

On Level's scale, this role is Builds AI ●●●●: the job is building AI systems.
The posting mentions PyTorch, TensorFlow and scikit-learn among its tools and skills.
Level classes it as an internship.
Worldline has 262 other open roles on Level.
Posted in the last few days.

AI in this role

Research, evaluate, and assist in developing cutting-edge AI and LLM solutions for the card payment industry.

pytorchtensorflowscikit-learnpythonllms

fine-tuningnlpmachine-learningdata-preprocessingmodel-fine-tuning

Who we are

Worldline helps businesses of all shapes and sizes to accelerate their growth journey - quickly, simply, and securely. We are the innovators at the heart of the payments technology industry, shaping how the world pays and gets paid. Our technology powers the growth of millions of businesses across 5 continents. And just as we help our customers accelerate their business, we are committed to helping our people accelerate their careers. Together, we shape the evolution.

The opportunity

We are looking for AI Interns to research, evaluate and support in the development of cutting-edge AI solutions within the card payment industry. The ideal candidate will have a strong academic knowledge in machine learning, data analysis, and python programming, and will be eager to explore the latest advancements in artificial intelligence. This internship will provide hands-on experience in researching, evaluating, and assisting in the development of innovative AI/LLM models and agent to agent automation.

Day-to-day responsibilities

Research and Literature Review:
- Conduct literature reviews on current advancements in large language models and related NLP technologies.
- Evaluate state-of-the-art methods and emerging technologies.
Data Collection and Preprocessing:
- Assist in gathering, cleaning, and preprocessing datasets for model training and evaluation.
- Work with AI teams to identify relevant data sources and ensure data quality.
Model Development:
- Assist in designing and executing experiments to evaluate the performance of existing LLMs.
- Assist in feature selection, model training, and hyperparameter tuning.
- Assist in fine tuning of LLM models
- Assit to implement AI APIs and microservices for seamless integration into enterprise applications.
- Ensure AI infrastructure aligns with security, compliance, and regulatory requirements (PCI-DSS, GDPR).
Documentation and Reporting:
- Document research findings, methodologies, and model development processes.
- Prepare reports and presentations to communicate project status and results to the team.
Continuous Learning:
- Stay updated on the latest trends and technologies in AI, LLM and machine learning.
- Experiment with low-rank adaptation (LoRA), quantization, and distillation to optimize model efficiency.
- Participate in team meetings, discussions, and brainstorming sessions.

Who are we looking for

We look for big thinkers. People who can drive positive change, innovate, step up and show what's next – people with passion, can-do attitude and a hunger to learn and grow. In practice this means:

Qualifications & Skills:
- Currently pursuing a Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, Mathematics, Engineering or a related field.
- Basic knowledge of natural language processing (NLP) concepts and techniques.
- Experience with machine learning libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
- Familiarity with data manipulation tools (e.g., Pandas, NumPy).
- Knowledge of statistical analysis and data visualization tools.
- Strong analytical and problem-solving skills.
- Excellent communication and teamwork abilities.
- Eagerness to learn and adapt in a fast-paced environment.

Shape the evolution

We are on an exciting journey towards the next frontiers of payments technology, and we look for big thinkers, people with passion, can-do attitude and a hunger to learn and grow. Here you'll work with ambitious colleagues from around the world, take on unique challenges as a team, and make a real impact on the society. With an empowering culture, strong technology and extensive training opportunities, we help you accelerate your career - wherever you decide to go. Join our global team of 18,000 innovators and shape a tomorrow that is yours to own.

Learn more about life at Worldline at jobs.worldline.com

#LI-JT1

How we rate this

AI Intern at Worldline rates 90 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

AI Intern is an open job at Worldline.
Level rates this role AI Level 4 of 4: Builds AI.
The role is based in Malaysia-Kuala Lumpur.
The job was posted on October 23, 2026.
Seniority: intern.
Applications are handled by Worldline. Apply on Worldline

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Fine-tuningNLPMachine learningData PreprocessingModel Fine TuningPyTorchTensorFlowscikit-learn

Questions you could be asked

Walk me through fine-tuning a model: what data did you use, and how did you check the result?
What NLP problem have you worked on, and how did you measure whether it actually worked?
Tell me about a project where machine learning was part of your work. What did you do?
Tell me about a project where data preprocessing was part of your work. What did you do?
Tell me about a project where model fine tuning was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: Fine-tuning, NLP, Machine learning, Data Preprocessing, and Model Fine Tuning. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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