Machine Learning Engineer

Hey, it's time for you to join us in showing the world that we are the company that is changing paradigms, where we revolutionize hours, minutes, and seconds!

Why choose 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 ANYTHING, where we all have the same opportunities, regardless of gender, race, sexual orientation, religion, nationality, age, disability, education, or experience.

Like what you've read so far? Find out how you will deliver magic with us on your Rappi mission 🧡

Take a look at how you'll impact our ecosystem:

The candidate should be able to build efficient artificial intelligence systems based on data that improve our predictive automation capabilities. The candidate should have strong skills in statistics and programming, with the ability to confidently evaluate, analyze, and organize large amounts of data. The candidate should also be able to execute tests and optimize machine learning models and algorithms.

As part of Rappi, you'll be responsible for:

• Machine Learning Model Development: Collaborate on the conception, design, and development of machine learning models to solve specific technical and business problems.

• Technical Implementation: Translate machine learning algorithms and models into functional and efficient technical solutions.

• Optimization and Performance: Continually evaluate and optimize models and algorithms to improve accuracy and efficiency, adjusting them to technical specifications.

• Integration into Technical Systems: Integrate machine learning models into the company's systems, applications, and technical environments.

• Large Data Volume Processing: Prepare and manipulate large data sets, ensuring their quality and effectiveness.

• Technical Research and Development: Stay updated on the latest trends and advancements in machine learning and contribute to technical and research development.

• Technical Documentation: Create detailed technical documentation of implemented models, algorithms, and processes.

• Maintenance and Technical Support: Provide continuous support and maintenance to machine learning-based systems.

Now, what are the requirements for being part of this neon universe?

• Degree in Computer Science, Engineering, Mathematics, or another technical discipline.

• Experience in developing and implementing machine learning models.

• In-depth knowledge of relevant languages and libraries, like Python, TensorFlow, or scikit-learn.

• Technical skills in data processing and handling, SQL - Snowflake.

• Programming and technical development skills: Experience with Python and/or Golang - Experience with Microservices (FastAPI, Flask)

• Creating pipelines using Airflow, handling operators (kubernetes, docker, PythonOperator)

• Effective collaboration in multidisciplinary teams.

• An attitude of continuous learning and adaptation to new technologies.

Worker type:

Regular

Company:

Rappi Technology Colombia

For more information, visit our website and check our reviews on Glassdoor

We're eagerly waiting for you to join us in delivering magic together! #Rappi 🧡