Machine Learning Engineer Specialist (Mid level)

Key Skills

Deep Learning, Effective communication skills, Google Cloud Platform (GCP), Java Programming, MLOps tools, Python Programming, PyTorch, TensorFlow

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

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