(TX-989) - Machine Learning Engineer Lead

(TX-989) - Machine Learning Engineer Lead

15 nov
Buenos Aires C.F.

15 nov


Buenos Aires C.F.

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)

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