Machine Learning Engineer
Kredivo Group
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Job Description
- 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.
- Partnering with Data Scientists to transform prototypes of predictive models into high performance, well integrated systems.
Requirements
- 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 using a distributed computing platform, such as Hadoop or Spark
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About Kredivo Group
Learn MoreKredivo Group is Southeast Asia’s leading provider of digital financial services through its brands Kredivo, KrediFazz and Krom.
Industry
Financial Services
Location
Jakarta, Indonesia
Company Size
– employees
