Hiring.Camp

Machine Learning Engineer Intern

Tiketdotcom

·

Jul 22, 2026

Location
Headquarters, Indonesia
Type
Internship
Department
Engineering
Seniority
Internship
Source
Workday

Description

We think you also hate when travel app is giving you a headache, right? A slight misinformation can ruin the trip.

That is exactly what we are tackling as t-fam! Making sure that our 50+ million users have the best experience in crafting their own adventure.

Your main duties in flying with us:

  • Within the Data Scientist team, to assist in developing and delivering AI/ML products

  • As part of the organization, to collaborate with engineers from different teams to support AI/ML implementation

  • Research on the latest technology to help improve the existing environment

  • Assist in writing technical documentation

  • Help monitor running ML services under guidance from senior team members

Mandatory belongings that you must prepare:

  •  Currently pursuing or recently completed a degree in Computer Science, Data Science, Statistics, Engineering, or a related field

  •  Basic understanding of Software Engineering or DevOps concepts

  •  Familiarity with ML Pipeline/ML Ops concepts is a plus

  •  Exposure to Cloud Technology, preferably Google Cloud Platform, is a plus

  • Basic understanding of Data Processing (e.g. batch, stream)

  •  Ability to understand a project goal and propose a suitable technical approach with guidance

  • Proficient in programming, preferably using Python

  •  Familiarity with ML frameworks and libraries (e.g. TensorFlow, PyTorch)

  • Basic understanding of Learning Concepts (e.g. supervised, unsupervised, deep learning)

  • Good communication skills and comfortable collaborating with a cross-functional team

  • Willing to commit to an internship period of at least 6 months.

In the event that you haven’t received any updates after 3 weeks, your data will be kept and we may contact you for another career destination. Meanwhile, discover more about tiket.com on Instagram, LinkedIn, or YouTube.

Skills

PythonDeep LearningTensorFlowPyTorchData ScienceDevOps

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