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Mutt Data

Delivers ML solutions for business outcomes

Data Developer

Data EngineeringConfirmed live in the last 24 hours
Full-timeRemote in ArgentinaNo salary listed

About the Job

Requirements

  • Knowledge of SQL or similar databases such as NoSQL, and Python.
  • Experience in software projects focused on Data Engineering or Machine Learning.
  • Proficiency in English.

Responsibilities

  • Contribute to implementing modern data pipelines for diverse data sources, ensuring scalability and performance.
  • Research and develop new technologies, tools, and best practices to continuously improve the company's infrastructure and capabilities.
  • Collaborate with cross-functional teams to ensure smooth integration of data systems with existing workflows and tools.

Desired Qualifications

  • Knowledge of Docker.
  • Experience with cloud platforms such as AWS, GCP, or Azure.
  • Familiarity with best practices, design patterns, object-oriented programming, modularization, and testing.

About the Company

Mutt Data

Delivers ML solutions for business outcomes

Mutt Data helps startups and large enterprises build and implement machine learning solutions that deliver real business results. They work across finance, insurance, advertising, telecoms, on-demand services, and e-commerce to help clients get ahead using the latest methods and best practices. How it works: They provide end-to-end ML services, starting with understanding business goals, data assessment, data engineering, model development, deployment, and ongoing monitoring and optimization. They tailor tools and techniques to each industry to put models into production and track their impact. Differences: They serve both startups and big companies and offer a complete workflow from idea to production, across many industries, with a focus on practical business outcomes rather than research-only efforts. Goal: Help customers gain a competitive edge by turning data into deployable ML solutions that improve efficiency, revenue, and user experience.

Company size
51-200
Company stage
Not listed
Total funding
Not listed
Headquarters
Capital, Argentina
Founded
2017

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