Machine Learning Engineer

Kredivo Group; Indonesia; On-site; IDR 500,083,347 - 833,472,245; Full time

Job summary

A financial technology company in Indonesia is seeking a Machine Learning Engineer to develop and implement machine learning pipeline infrastructure. You'll work closely with Data Scientists to transform prototypes into high-performance systems. The ideal candidate will have 2-3 years of experience in Data or Software Engineering, strong proficiency in Python and GoLang, and familiarity with cloud services, particularly AWS. Join us to advance the future of financial services.

Qualifications

• 2-3 years of relevant experience in Data or Software Engineering.
• Minimum 1-2 years hands-on experience in deploying machine learning models.
• Good knowledge of data structures and software architecture.

Responsibilities

• Develop ML pipeline infrastructure, including ETL of raw data.
• Partner with Data Scientists to transform predictive models into systems.

Skills

Data or Software Engineering

Python

GoLang

Machine Learning libraries (TensorFlow/Keras, PyTorch)

Cloud services (AWS)

Tools

MySQL

PostgreSQL

S3

Hadoop

Spark

Job description

Overview

At Kredivo we are building the future of financial services that are fast, cheap and widely accessible, wrapped up in a beautiful UX. We are looking for a Machine Learning Engineer who will closely collaborate with the Data Science team in feeding data (across functions such as credit scoring, fraud, and risk) into financial models defined by data scientists. You will also be responsible to make sure that data science code is maintainable, scalable and debuggable.

Responsibilities

• Develop and implement ML pipeline infrastructure, including but not limited to: ETL (Extract, Transform and Load) of raw data into model features and building platform to automate ML training, testing and maintenance.
• Partner with Data Scientists to transform prototypes of predictive models into high performance, well integrated systems.

Qualifications

• 2-3 years of relevant experience in Data or Software Engineering and minimum 1-2 years hands-on experience in deploying machine learning models and feature pipelines
• Having good knowledge of data structures, data modeling and software architecture related to Machine Learning
• Ability to write robust production-ready code in Python & GoLang
• High degree of proficiency with RDBMS (i.e. MySQL, PostgreSQL) and No-SQL platforms (i.e. S3)
• Proficiency in machine learning libraries such as TensorFlow/Keras, PyTorch, SparkML or MLeap
• Strong interest in building scalable and reliable Machine Learning Engineering/AI related services
• Past experience working with cloud services platform to build data pipelines, monitoring, scheduler and storage, preferably on AWS environment.
• Familiarity with distributed computing platforms, such as Hadoop or Spark

Thank you for your interest in Kredivo. We’re thrilled that you’d like to join our company. If you are among qualified candidates, you will receive a call or email from our Talent Acquisition team.