Machine Learning Engineer - Bogota, Colombia - Rappi

Rappi

Empresa verificada

Bogota, Colombia

hace 1 semana

Publicado por:

Carolina González

beBee Recruiter

Descripción

It is time for you to join us to show the world that we are the company that is coming to change paradigms, where we revolutionize hours, minutes and seconds.

Because in Rappi

WE SEE OPPORTUNITIES where others see problems.

WE SEE CLOSENESS where others see distance.

WE SEE ADRENALINE where others see pressure.

Join a team where we are all capable of EVERYTHING, where we all have the same opportunities regardless of gender, race, sexual orientation, religion, nationality, age, disability, training or experience.

We are waiting for you

Misión del puesto

Design, build, deploy, integrate, maintain and monitor APIs that can make an impact in all of the user journey at Rappi.

Roles and responsibilities

Main Responsibilities- Build, implement, and maintain APIs for serving data and ML Models for the user app.- Contribute to engineering best practices for scaling and designing/building software that is reliable, scalable, and secure- Be responsible for the implementation, testing, and release of APIs- Work closely with Data scientists and Data Engineers to design systems for executing ML models

Key Requirements- Experience in coding professionally (at least two years) in a dynamically typed language such as Python, GO.- Experience in FastAPI, Flask- Experience working with relational databases - MySQL, Postgres, or other, 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- Experience in Microservices architectures

Additional Information

Desired Requirements- 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

Worker type:
Regular

Work Model:
Remoto