Machine Learning Intern - Hybrid Ad Tech & Data

smadexslu; Barcelona; Híbrido; EUR 8900 - 13.000; A tiempo parcial

Ventajas ofrecidas por este puesto de trabajo

Hybrid work (2 days remote)

LinkedIn Learning

Gym allowance

Team events

International team

Descripción de la vacante

Smadex, a leading ad-tech company based in Barcelona, seeks ambitious Machine Learning Interns to learn cutting-edge ML and contribute to a world-class DSP. You will work with Python, SQL and cloud data, building algorithms and analyzing large datasets in a fast-paced team environment.

You’ll join a highly motivated, international group, with a strong emphasis on learning through projects, hands-on experience with ML tools, and exposure to global app publishers.

Formación

• Experience in Python, SQL and data warehousing.
• Experience developing algorithms and managing datasets preferably from the cloud.
• Hands-on experience using deep learning libraries is also nice to have.
• Problem solving oriented mentality and a very proactive approach
• Self-motivated with the ability to work independently and sense of accountability
• Detail-oriented, well organized, and able to multi-task in a results-oriented business environment
• Excellent communication skills both verbal and written; Fluency in English is a must

Conocimientos

Python

SQL

Data warehousing

Algorithms development

Cloud data management

Deep learning libraries

Problem solving

Self-motivation

Attention to detail

Communication (English)

Educación

Master’s degree in ML/AI/Statistics/Applied Math/CS

Herramientas

Jupyter Notebook

Zeppelin

Tableau

PowerBI

AWS (EMR, EC2, Athena, S3, Redshift)

Linux

Descripción del empleo

Smadex, a leading ad-tech company based in Barcelona, seeks ambitious Machine Learning Interns to learn cutting-edge ML and contribute to a world-class DSP. You will work with Python, SQL and cloud data, building algorithms and analyzing large datasets in a fast-paced team environment.

You’ll join a highly motivated, international group, with a strong emphasis on learning through projects, hands-on experience with ML tools, and exposure to global app publishers.