Machine Learning - Software Engineer


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Who are we?

WorldRemit - if the media's to be believed, we're the FinTech start-up taking the world by storm - scooping-up awards and more than $140m in funding.  Ok... all that is true.  But we're so much more.  WorldRemit is changing the way people send money to family and friends.  We're leading an online revolution and laying to rest old-fashioned money transfers.

What you’ll be working on:

You will be working alongside our data scientists and engineers to help create a culture and infrastructure of machine learning. Initially focused on cyber crime activities - including creating, training and maintaining models - the boundaries for this role are endless. WorldRemit is a fast-growing business that wants to treat its customers intelligently and we believe data and machine learning are the key to help us achieve this. From offering dynamic user journeys to helping automate manual decisions, at virtually every level of our organisation there is a machine-learning hole that we're excited to fill with a growing data team. Specific projects already identified are: fraud prevention; behavioural analytics for the checkout experience; chatbots; marketing optimization; and anti-money laundering models.


What we’re looking for:

  • Experience with SQL, and big-data technologies (Hadoop, Spark, Kafka etc...)
  • Experience working with large, complex datasets
  • Experience building and maintaining data extraction, feature processing pipelines and machine learning models in a production environment
  • Experience writing Python code for production and with machine-learning libraries such as numpy, scikit-learn, pandas
  • Expertise in various machine learning algorithms for classification/regression
  • Experience in statistical analysis of performance of machine learning models
  • Experience deploying microservices with Docker, along with container orchestration
  • Ability to translate business requirements into machine learning solutions

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