Machine Learning Engineer - Merchant Platform

Jakarta

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Posted 1 month ago

About the Role
Fasten your helmet and climb on board if you're ready to be our next Machine Learning Engineer. In this role, you will be in charge of building machine learning as a microservice, integrating it with the core service, and setting up data pipelines for structured/unstructured data. Working closely with the Data Science, Data Engineer and Product Engineer team, you will get exposure about machine learning, data pipeline, and service production tech stack. You’ll get ample opportunity to tackle and solve complex ML issues, and your efforts will help ensure a robust Gojek Merchant platform.

What You Will Do

  • Collaborate with Data Science team to gather the requirement for model parameter
  • Build the feature extraction script to automate the process for ML model
  • Collaborate with product engineer to integrate ML model into product/service
  • Process data from streaming/raw data based on user needs
  • Collaborate with other Data Engineers  to develop data and model pipelines
  • Design distributed systems to apply machine learning and data science techniques

What You Will Need

  • At least 2 years of experience as a Software Engineer or ML Engineer, with fluency and experience in Clojure, Elixir, Python or Java
  • Basic knowledge in data science, and familiarity with ML libraries such as Pandas, Scikit, Tensorflow
  • Proven track-record building large-scale, high-throughput, low-latency production systems
  • Experience building data stream processes
  • Familiarity with SQL and NoSQL Database
  • Ablity to implement CI/CD and TDD
About the Team
The Merchant Platform team is a big group of over 50 team members based across Singapore and Indonesia. The gist of our role is to create an ecosystem of solutions to support our merchant-partners on the Gojek platform better manage and grow their business, while enabling both internal and external product stakeholders to develop merchant-based solutions in a sustainable manner.
Our merchant-partners are one of the core stakeholders in our Gojek ecosystem; they’re involved in various offerings such as food delivery, offline payment acceptance, POS, financial services, deals, and promotions. As the Merchant Platform team, we work closely with our merchant-partners to understand their daily needs and concerns, and relay these insights to our internal product stakeholders to build platforms and interfaces on our mobile apps that ensure our merchant-partners’ success on the Gojek platform.
We’re a tight-knit, high-functioning team who genuinely love what we do, as we can see the results of our efforts play out in our merchant-partners’ everyday lives. When we aren’t working, you’d probably find us with our nose in books, or our eyes glued to the TV screen watching the latest Netflix drama. We’re equally concerned with each others’ personal and professional developments, and work together to get our job done well.

About Us
Gojek is a Super App. It’s one app for ordering food, commuting, digital payments, shopping, hyper-local delivery, and dozen other products. It is Indonesia’s first and only decacorn. It's also the only Southeast Asian startup to be part of Fortune's list of 'Companies That Changed The World.'
Our Mission: To create and scale positive socio-economic impact for our customers, driver-partners, business and MSMEs.
As of 2018, Gojek processed more than $9 billion annualised gross transaction value across all markets where it operates - in Singapore, Thailand, Vietnam and Indonesia. We have the largest food delivery product in Asia, (outside of China), and the largest payments wallet in Southeast Asia.
Our investors include Google, Facebook, PayPal, Sequoia Capital, Tencent Holdings among others.
Gojek is committed to building a diverse and inclusive workplace and is an equal opportunity employer. We do not discriminate on the basis of race, religion, national origin, gender, gender identity, sexual orientation, disability, age, education status, or any other legally protected status.
Job tags: Distributed Systems Java Machine Learning ML NoSQL Pandas Python SQL TensorFlow
Job region(s): Asia/Pacific
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