Machine Learning Engineer

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 17+ million users have the best experience in crafting their own adventure.

#LI-Hybrid

Machine Learning Engineer is kinda similar to a Software Engineer, with additional complexity to manage, the Machine Learning Model. A Machine Learning Engineer should have a basic knowledge of machine learning algorithms so that he/she can have a drawing about the performance of the ML model built by the Data Science team.

Your main duties in flying with us:

• Within the Data Scientist team, to collaborate in delivering AI/ML products
• As part of the organization, to collaborate with engineers from different teams to build successful integration for AI/ML implementation
• Research on the latest technology to continuously improve the existing environment
• Expected to write architecture design and technical documentation
• Administer and monitor running ML services

Mandatory belongings that you must prepare:

• Have min. 3 years of experience in Software Architecture, Engineering, or DevOps
• Experience in building ML Pipeline/ML Ops
• Experience in ML Production
• Experience with Cloud Technology, preferably Google Cloud Platform
• Experience in Data Processing (e.g. batch, stream)
• Experience in understanding the project goal and designing a suitable technical solution
• Proficient in programming, preferably using Python/Java
• Proficient in ML frameworks and libraries (e.g. Tensorflow, PyTorch)
• Solid understanding of Learning Concepts (e.g. supervised, unsupervised, deep learning)
• Good communication skills and comfortable collaborating with a cross-functional team

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.