Data Engineer
[CO] Bogotá
Applications have closed
Rappi
Pide en línea domicilio de restaurantes, supermercado, medicamentos y ¡mucho más! Tus tiendas favoritas están en Rappi. Entregamos con amor en todo México ♥♥Rappi is one of the first Latin American unicorns and a start-up that continues to focus on growing and making life easier for our users. As a company, we seek to continue improving the services we already offer, add more to our offer and continue expanding throughout the Latin American continent.
Role Objective
- Design, build, deploy, maintain and monitor ML systems to serve DS models to production that can make an impact in all of the user journey at Rappi.
Main Responsibilities
- Build, implement, and maintain machine learning systems in technology products
- Lead engineering best practices for scaling ML and designing/building software that is reliable, scalable, and secure
- Be responsible for the implementation, testing, and release of a range of models, both for existing and “to-be-invented” use cases
- Work closely with Data scientists to design, code, train, test, deploy, iterate and own state-of-the-art systems for executing ML models
- Building end-to-end data pipelines to train, maintain and track the performance of our Machine Learning and Operations Research products
Key Requirements
- Experience in coding professionally (at least two years) in a dynamically typed language Python
- Experience in FastAPI, Flask
- Experience working with relational databases - MySQL, Postgres, etc and proficiency in SQL
- Knowledge of Docker/Kubernetes
- Quantitative background in statistics, computer science, physics, math, engineering or another technical field
- Have strong problem-solving skills and like to work on complex problems
- Have a startup mindset
Desired Requirements
- Experience with Airflow it’s a plus
- AWS SageMaker it's a plus
- AWS Personalization it´s a plus
- Experience in machine learning algorithms and libraries such as Scikit-learn, xgboost, TensorFlow, Keras, or PyTorch it’s a plus
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I have read and accept the Authorization of Personal Data from Rappi S.A.S https://docs.google.com/document/d/e/2PACX-1vRFEkFojVd3AfFsARRsdZpiSjA_xQGK5Y7ZCBT3gw19MOdQVqH5nRAuSqyu3yZq2A/pubIn accordance with the Personal Data Treatment Policyhttps://legal.rappi.com/colombia/autorizacion-de-tratamiento-de-datos-personales-rappitenderos-rappi-s-a-s/
Tags: Airflow AWS Computer Science Data pipelines Docker Engineering Flask Keras Kubernetes Machine Learning ML models MySQL Physics Pipelines PostgreSQL Python PyTorch RDBMS Research SageMaker Scikit-learn SQL Statistics TensorFlow Testing XGBoost
Perks/benefits: Startup environment
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