Machine Learning Engineer Search ADS

[CO] Bogotá

Rappi

Pide en línea domicilio de restaurantes, supermercado, medicamentos y ¡mucho más! Tus tiendas favoritas están en Rappi. Entregamos con amor en todo México ♥♥

View company page

YOUR NEXT STEP IS AT RAPPI!
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.
¡Hey, keep it in mind that Rappi is an equal opportunity employer and hires qualified individuals regardless of gender, race, sexual orientation, religion, nationality, age, disability or background. You'll be most welcome here!
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.
At Rappi, no two days are the same. We love to hustle, work hard for a greater good, and strive to be the leading tech company in Latin America. Rappi is growing at a tremendous rate and this position is crucial in our pursuit at providing a game-changing experience for our users, couriers and partners.

Your impact, you will:

  • 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 Machine Learning 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

Required Skills:

  • 1+ Years of experience in coding professionally in Python
  • Experience developing APIs
  • Experience working with relational databases (preferably SQL)

Big Plus:

  • AWS
  • Have strong problem-solving skills and like to work on complex problems
  • Have a startup mindset 
From employee 1 to employee 1000, you will be slotting into a multi-national team that shares a number of traits. You can work autonomously and take ownership. We thrive with the space and responsibility to solve problems.You operate best without lots of bureaucracy. We don’t hide behind fancy job titles or clunky processes ‘because that’s how things are done’.You approach work in a logical way. We are not afraid to make mistakes but we use data and logic to backup decisions and improve understanding.And you share our mission to improve people’s relationship with their money.
He leído y acepto la Autorización de Datos Personales de Rappi S.A.S https://docs.google.com/document/d/e/2PACX-1vRFEkFojVd3AfFsARRsdZpiSjA_xQGK5Y7ZCBT3gw19MOdQVqH5nRAuSqyu3yZq2A/pubConforme a la Política de Tratamiento de Datos Personaleshttps://legal.rappi.com/colombia/politica-de-proteccion-y-tratamiento-de-datos-personales-rappi-s-a-s/
----
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/

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: APIs AWS Data pipelines Engineering Machine Learning ML models Pipelines Python RDBMS Research SQL Testing

Perks/benefits: Startup environment

Region: South America
Country: Colombia
Job stats:  11  2  0

More jobs like this

Explore more AI, ML, Data Science career opportunities

Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.