Intern, AI Engineering

We fuel the ideas and ambitions of our people with an environment built on Our DNA of Love, Entrepreneurship, Agility, and Passion – LEAP

We are a culture that empowers everyone to innovate and create solutions that will leave a positive impact on our communities and our nation, Touch n Go will always be here to inspire our talents to grow as leaders and innovators giving you the power to make a difference

Responsibilities:

• Assist in face verification and document verification model testing.
• Perform data collection, data labeling, cleansing, and validation for model training.
• Support experiment tracking, benchmarking, and LLM evaluation/testing activities.
• Help maintain and update the internal knowledge base to support LLM and model development.
• Assist in preparing documentation and compliance materials (e.g., ISO, NIST).
• Contribute to internal QA testing cycles during greyscale and pilot rollouts.

Qualifications:

• Be pursuing a degree in Computer Science, Data Science, or related fields
• Have basic knowledge of Python and machine learning concepts
• Be comfortable working with data (labeling, cleaning, organizing)
• Show attention to detail and willingness to learn
• Be available for a minimum 3-month to 6 month internship starting late December

Our Perks & Benefits:

• eWallet meal allowance.
• Unlimited office pantry fruits, snacks and drinks.

We believe that you have what it takes to fit into the Touch n Go family and help revolutionize the Fintech industry by paving the way to a cashless society. If you're ready to take the next step, apply now!

Touch n Go is an organization that strives to provide Equal Opportunity Employment, based on merit, qualifications, capabilities, and calibre. It is Touch n Go's policy to not discriminate based on age, race, religion, colour or other personal status, identity or characteristics. Fair Opportunity is Our Value and Practice. Please advise us of any accommodations you may need by e-mailing: [Confidential Information]

Note: Only shortlisted candidates will be contacted.