Machine Learning Engineer

COL-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 ♥♥

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

Do you want to know why Rappi?

⭐️ WE SEE OPPORTUNITIES where others see problems

⭐️ WE SEE CLOSE 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.

Did you like what you have read so far? Find out how you will deliver magic together with us through your Rappi mission 🧡

Check out how it will impact our ecosystem:

Machine Learning Engineer

As part of Rappi, you will be responsible for:

Senior Machine Learning Engineer

Responsibilities:

  • Develop and optimize algorithms to serve relevant and personal content to millions of customers every month across all our businesses and markets.  

  • Collaborate with a cross-functional team of engineers, data scientists, and product managers to develop, test, and deploy machine learning models for personalization across Rappi’s customer app.

  • Perform feature engineering and selection to improve the overall effectiveness of our personalization systems.

  • Work closely with the data infrastructure team to ensure seamless integration of machine learning models with our existing systems and data pipelines.

  • Continuously monitor and analyze personalization performance, identifying opportunities for improvement and implementing necessary changes.

  • Stay up-to-date with the latest industry trends and technologies to ensure our personalization capabilities remain competitive and cutting-edge.

  • Mentor junior team members and contribute to the growth of the team's overall expertise in machine learning and personalization.

Candidate Wishlist:

  • BSc or MSc in Computer Science, Engineering, or a related field with a focus on machine learning; - PhD is a plus.

  • Senior + years of experience in machine learning engineering, preferably in personalization, recommendation, or ranking systems with demonstrable customer and business results.

  • Strong proficiency in Python, with experience in ML libraries and frameworks such as TensorFlow, PyTorch, or scikit-learn.

  • Familiarity with data processing and ETL tools such as Airflow, Snowflake, Postgres, Kafka, and Redis.

  • Proven experience with large-scale, complex systems and the ability to adapt to a fast-paced, rapidly evolving environment.

  • Excellent problem-solving and analytical skills, with a passion for optimizing algorithms and models for high performance.

  • Strong communication and collaboration skills, with the ability to work effectively within a diverse, cross-functional team.

  • Fluency in Spanish (written and spoken) is required; proficiency in English is strongly preferred. 

  • Preference will be given to candidates in Latin America. Globally-located candidates are possible in the right circumstances.

Good and now, what are the requirements for me to be part of this neon universe?

Worker type:

Regular

Company:

Rappi Technology Colombia

For more information check our website https://about.rappi.com/es and check our reviews on Glassdoor https://acortar.link/Eqm07Q

we are waiting for you to build and deliver the magic together! #Rappi 🧡

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

Tags: Airflow Computer Science Data pipelines Engineering ETL Feature engineering Kafka Machine Learning ML models PhD Pipelines PostgreSQL Python PyTorch Scikit-learn Snowflake TensorFlow

Perks/benefits: Career development Startup environment

Region: South America
Country: Colombia
Job stats:  12  4  0

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