Posted 24 days ago
Machine Learning Engineer Intern
AI Summary
Assists the Data Scientist team in developing and delivering AI/ML products, collaborates with engineers, researches new technology, writes documentation, and monitors ML services under senior guidance.
About this role
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.
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