Machine Learning Engineer - Uruguay - Zona Franca

UruguayFull Time / Hybrid Workmid

Machine Learning EngineerData

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Overview

🚀 Join Our Data Products and Machine Learning Development Remote Startup!

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Machine Learning EngineerData

🚀 Join Our Data Products and Machine Learning Development Remote Startup! 🚀

Muttdata is a dynamic startup committed to crafting innovative systems using cutting-edge Big Data and Machine Learning technologies.

We’re looking for a Machine Learning Engineer to help take our expertise to the next level. If you consider yourself a data nerd like us, we’d love to connect! 🐶🚀

Leveraging our expertise, we build modern Machine Learning systems for demand planning and budget forecasting.

Developing scalable data infrastructures, we enhance high-level decision-making, tailored to each client.

Offering comprehensive Data Engineering and custom AI solutions, we optimize cloud-based systems.

Using Generative AI, we help e-commerce platforms and retailers create higher-quality ads, faster.

Building deep learning models, we enhance visual recognition and automation for various industries, improving product categorization, quality control, and information retrieval.

Developing recommendation models, we personalize user experiences in e-commerce, streaming, and digital platforms, driving engagement and conversions.

Amazon Web Services

Astronomer

Databricks

📊 We are Data Nerds

🤗 We are Open Team Players

🚀 We Take Ownership

🌟 We Have a Positive Mindset

🔍 Curious about what we’re up to? Check out our case studies and dive into our blog post to learn more about our culture and the exciting projects we’re working on! 🚀

Collaborate with the team to define goals and deliver custom data solutions.

Innovate with new tools to improve Mutt Data's infrastructure and processes.

Design and implement ETL processes, optimize queries, and automate pipelines.

Own projects end-to-end—build, maintain, and improve data systems while working with clients.

Develop tools for the team and assist in tech migrations and model design.

Build scalable, high-performance data architectures.

Focus on code quality—review, document, test, and integrate CI/CD.

Experience in Data Engineering, including building and optimizing data pipelines.

Strong knowledge of SQL and Python (Pandas, Numpy, Jupyter).

Experience working with any cloud (AWS, GCP, Azure,DBS or DBT).

Basic knowledge of Docker.

Experience with orchestration tools like Airflow or Prefect.