Machine Learning Engineer Lead - Fraud / Platform

[ARG] Buenos Aires

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Posted 1 week ago

As a Fraud ML Engineering Lead at Rappi you will lead a technical team to build, implement, and maintain machine learning systems. You will manage a cross-functional team of Machine Learning Engineers, Data Engineers and Data Scientists being responsible for the implementation, testing, and release of the whole pipeline to get a ml model up&running,  while remaining involved from a hands-on technical perspective.

Responsibilities:

  • Own the product and technical implementation of fraud models and data.
  • Responsible for defining objectives and ensuring reaching those. Organize team’s work and prioritize tasks.
  • Ensure best practices and availability while delivering mission critical systems with tight deadlines
  • Evaluate your team's performance both individually and globally, increase team’s quality by coaching
  • Work towards having a happy and productive team. Interview and calibrate new team members in the hiring process
  • Identify and escalate problems or obstacles outside of your sphere of control

Must have previous experience:

  • Leading high performance technical teams
  • Being involved on end-to-end ML pipelines.
  • AB testing on different ML tasks and features.
  • Supporting Machine Learning teams deploying ML models.
  • Performing statistical analysis and fine-tuning using test results.
  • Training and retraining systems when necessary.

Requirements/Skills:

  • Strong mathematical skills
  • Good software engineering skills
  • Proficient in machine learning with working knowledge in Deep Learning frameworks (Pytorch, Tensorflow, Keras)
Job tags: Deep Learning Engineering Keras Machine Learning ML PyTorch TensorFlow