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.
Job descriptionWe are looking for a Senior Machine Learning Engineer for the new financial ecosystem at RappiBank that will help us design, train, deploy and maintain predictive models to help us make smarter decisions to deliver even better products.
Your primary focus will be implementing ETL’s for feature creation, applying data mining and training models with state of the art technology, developing microservices for serving models across different departments, and building high quality prediction systems integrated with our products.
What this role do?
As a Senior Machine Learning Engineer, you will responsible for providing support to the different areas of the business : mainly fraud
prevention and detection, risk management, growth and customer
The ideal candidate must be a highly capable machine learning engineer qualified to optimize our machine learning systems.
Should be comfortable using large data sets, state of the art technology and ML concepts.
The candidate must have strong experience developing, training, testing and deploying machine learning models.
You will collaborate in a very rich and talented environment of Data Scientists, Data Engineers, and stakeholders throughout the globe to create impact in the business.
We are looking for a passionate professional who wants to change the financial world as we know it.
At least 3 years of experience as a machine learning engineer.
Advance proficiency writing code in R, Python, SLQ, or Java is a must.
Extensive knowledge of ML frameworks, libraries, data structures, data modeling, and software architecture.
In-depth knowledge of mathematics, statistics, and algorithms.
Experience documenting machine learning processes.
Experience developing ML algorithms to analyze huge volumes of historical data to make predictions.
Experience designing machine learning systems
Please make sure you fulfill the following requirements to apply for this position. We are excited to work with you!