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Job Description

Job Description

Traveloka is seeking a skilled software engineer to join our Machine Learning (ML) Engineering & Platform team. In this role, you'll collaborate with talented software engineers and data scientists to develop robust software and systems that power Traveloka's products through data-driven and mission-critical ML solutions.

Responsibilities include designing, constructing, and maintaining data platforms utilized across various Traveloka products, including:

• Building an experiment platform for conducting A/B tests and online experiments

• Developing an ML platform to streamline model training and deployment, facilitating the delivery of ML artifacts to Traveloka products

You'll have the opportunity to work with cutting-edge technologies such as Python, Golang, Kubernetes, BigQuery, PostgreSQL, and Google Cloud Platform (GCP).

Responsibilities

• Design, build, and operate ML and/or experimentation platforms, that serve Analytics and Data Science use cases

• Ensure to follow standards, guidelines and well known design patterns when building a system

• Ensure the systems are well structured, unit- and integration tested, well maintained, and capable of serving 1000+ requests per second with low latency

• Make appropriate choices of platform components (languages, libraries, queuing systems, datastores, processing, application servers, etc).

• Operationalise logging, metrics, and alerting

• Lead incident responses, perform root cause analysis, and resolve issues in all tiers of the system

• Share knowledge by pairing and collaborations

Requirements

Qualifications

• Strong engineering backgrounds preferably from computer science, mathematics, software engineering, or other quantitative backgrounds, with an interest in Machine Learning.
• Proficiency in at least one programming language such as Python, Java, Golang.
• Proficiency with Git, CI/CD, and deployment automation
• Good knowledge of SQL, NoSQL, and databases
• Excellent interpersonal and communication skills
• Understand the impact of your technical decisions to the people who use your product
• Have good knowledge about machine learning and/or experimentation is a plus
• Knows how to navigate your way around Google Cloud Platform is a plus