[FOUND] Data Engineer for Geographic and Remote Sensing data

CIREN, in collaboration with CENIA, is looking for a Data Engineer to be part of the FONDEF Advanced Technologies project team: an ai system for nation-wide agricultural production monitoring based on crowd-sourced and remote-sensing data.

What are we looking for?

We are looking for a professional with strong technical competencies and interpersonal skills that include:

• Professionals in the areas of Computer Engineering, Mathematics, Statistics, Physics, Industrial Engineering or related disciplines, preferably with a Master’s degree.
• 1 to 3 years of professional or project experience.
• Experience in Python, R or SQL
• Knowledge in Machine Learning libraries (scikit-learn, TensorFlow, PyTorch).
• Knowledge in tools to manage geographic data: geopandas, postGIS, geoSQL.
• Knowledge in spatial data processing: Sentinel2, LANDSAT, etc.
• Familiarity with data visualization tools (Power BI, Tableau, Matplotlib, Seaborn).
• Experience in data cleansing and data management in large volumes.
• Knowledge in statistics and advanced probability.
• Familiarity with relational and non-relational databases (PostgreSQL, MongoDB).
• Intermediate or advanced technical English (desirable).

What will you do?

• Design, implement and optimize Machine Learning and predictive analytics models.
• Collect, clean and structure large volumes of data for analysis.
• Generate actionable insights to support strategic decision making.
• Collaborate with cross-functional teams (developers, analysts, business leaders).
• Visualize data using tools such as Power BI, Tableau or similar.
• Document processes, methodologies and key findings of the projects.
• Ensure the quality and security of the data handled.

What do we offer?

• Total gross remuneration of $2.500.000. 2 year fixed term project contract with CIREN.

Offer in the CENIA website here