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Software Engineer - Machine Learning and Experimentation Platform

ID01 PT Traveloka Indonesia

Daerah Khusus Ibukota Jakarta

On-site

IDR 200.000.000 - 300.000.000

Full time

Yesterday
Be an early applicant

Job summary

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.

Benefits

Career growth opportunities
Dynamic work environment

Qualifications

  • Strong engineering background with an interest in Machine Learning.
  • Proficient in at least one programming language such as Python, Java, or Golang.
  • Good knowledge of SQL and NoSQL databases.

Responsibilities

  • Design and build ML and experimentation platforms.
  • Operate systems capable of handling 1000+ requests per second.
  • Lead incident responses and perform root cause analysis.

Skills

Machine Learning
Python
Golang
Kubernetes
SQL
NoSQL
Git

Education

Degree in Computer Science or related field

Tools

Google Cloud Platform
BigQuery
PostgreSQL

Job description

Software Engineer - Machine Learning and Experimentation Platform page is loaded

Software Engineer - Machine Learning and Experimentation Platform
Apply locations Indonesia - Jakarta, Green Office Park 1 time type Full time posted on Posted 29 Days Ago job requisition id R0007384

It's fun to work in a company where people truly BELIEVE in what they're doing!

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

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

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