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Data Engineering Machine Learning Intern - Remote

Posted 7 weeks ago
Data Analysis
Internship
Colombia

Overview

As a Data Engineering Machine Learning Intern at Loka, you will gain professional experience supporting certified specialists and technical experts while developing your skills and building a portfolio.

In Short

  • Assist in designing, developing and maintaining data pipelines.
  • Collaborate to implement and optimize ETL processes.
  • Integrate data from various sources into warehouses and lakes.
  • Support data management tasks including cleaning and validation.
  • Develop models that help achieve business objectives.
  • Implement ML systems using classical ML and deep learning.
  • Participate in client communications and requirement gathering.
  • Explore and visualize data to identify issues.
  • Identify and analyze model errors.

Requirements

  • Last year of a bachelor’s degree in Computer Science or related.
  • Proficient in English.
  • Basic knowledge of Python, ML, and Data libraries.
  • Basic knowledge of Databases.
  • Understanding of statistical, ML, and deep learning algorithms.
  • Experience visualizing and manipulating big datasets.
  • Problem-solving skills.
  • Bonus: AWS knowledge, (Py)Spark, Airflow, Data Lakes and Data Warehouses.

Benefits

  • Every other Friday off.
  • Remote and flexible work environment.
  • Paid sick days and local holidays.
Loka logo

Loka

Loka, Inc is a forward-thinking technology company that empowers engineers to launch impactful projects across diverse industries. With a focus on innovation, Loka has contributed to significant advancements such as the world's leading AI reading tutor, sustainable home transformations, and groundbreaking drug discovery efforts. Operating 100% remotely, Loka promotes a healthy work-life balance by offering every other Friday off. As an inaugural AWS Generative AI Partner, the company provides a unique platform for technical professionals to leverage their expertise while fostering a collaborative and competitive environment aimed at helping businesses succeed.

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