Summary

Job Context

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Job Responsibilities

Design, code and deploy highly scalable features (mostly in Python) from a massive machine-learning system that powers our economic module.

Visualize key statistical concepts of underlying models and its performance.

Evaluate different statistical models, taking into consideration the trade-off between model improvements vs scalability.

Adapt standard machine learning methods to best exploit modern parallel environments

Join a team of data scientists, data engineers and software engineers to design, prototype and build scalable distributed systems that will be used to enhance the machine learning platform we have.

Work in a self-sufficient, autonomous manner, striving through ambiguity

Learn and teach about state-of-the-art computational statistics techniques

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Experience Requirements

• 2 - 3 years

Educational Requirements

• Bachelor/Honors

Skills

• Experience building software in Python (C++ is a plus! ;) Excellent engineering and strong CS fundamentals. (Hands-on programmer, not a data analyst) Excellent engineering and strong CS fundamentals. (Hands-on programmer, not a data analyst) Experience working with ML technologies and building model training pipelines Be comfortable writing well-structured, production-ready code to support your work and have quality results quickly. Good SQL and database knowledge (Trino SQL is a plus). Experience working with AWS, k8s and Nomad is a plus. Ability to work both independently and in cooperation with others A sense of urgency and ownership over the product

Age

• 24 - 38 Age

Additional Requirements

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Compensation & Other Benefits

• - Mobile Bill , Tour , Holidays , Performance Bonus
• - Salary Review: Half Yearly

Work place

• Work At Office

Employment Status

• Full Time

Gender

• Male

Job Location

• Argentina