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A leading travel technology platform in Jakarta is seeking a Software Engineer for the Machine Learning and Experimentation Platform team. In this role, you will design and maintain data platforms and work with technologies like Python and Kubernetes. Ideal candidates have a strong engineering background and proficiency in programming languages. Join a dynamic team and contribute to impactful ML solutions.
Software Engineer - Machine Learning and Experimentation Platform page is loaded
It's fun to work in a company where people truly BELIEVE in what they're doing!
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).
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
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!