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Data and Machine Learning Intern

1 hour, 48 minutes ago
Colombia
Internship
Entry Level
Data Engineer
Data Science and Analytics
Apache Airflow Apache Spark AWS Deep Learning Machine Learning Python
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Loka

Loka

Loka accelerates ideas into market-ready products with expertise in AI, data services, DevOps, cloud services, and healthcare consulting, focusing on accelerating product launches and innovation in AI and Machine Learning solutions.

Internet Software & Services
51-250
Founded 2004
View All Jobs 4

Description

  • Design, develop, and maintain reliable data pipelines.
  • Collaborate on implementing and optimizing ETL processes.
  • Integrate data from diverse sources into warehouses, data lakes, and lakehouses.
  • Clean, validate, transform, explore, and visualize large datasets.
  • Develop models aligned with business objectives and define progress metrics.
  • Implement machine learning systems using classical ML, deep learning, and foundation models.
  • Identify and analyze model errors and data issues that may affect production performance.
  • Support client communications by gathering requirements and communicating deliverables.

Requirements

  • Be in the final year of a bachelor’s degree in Computer Science or a related field.
  • Proficiency in English.
  • Basic knowledge of Python and machine learning and data libraries.
  • Basic knowledge of databases.
  • Understanding of statistical, machine learning, and deep learning algorithms.
  • Experience visualizing and manipulating large datasets.
  • Strong problem-solving skills.
  • Curiosity and willingness to learn across industries and modern technology stacks.
  • Ability to work autonomously in a fully remote, globally distributed team.
  • Bonus: Knowledge of AWS, PySpark, Spark, Airflow, data lakes, or data warehouses.

Benefits

  • Six-month, full-time paid internship.
  • Every other Friday off.
  • Health bonus.
  • Remote and flexible work environment.
  • Paid sick days and local holidays.

Interested in this position?

Apply directly on the company website

Apply Now

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