We’re looking for a mission-driven Geospatial Data Engineer to join our cross functional machine learning team to bring automation in our data processing pipeline and scale up our ML solutions.
Specific responsibilities will include:
- Youʼll contribute to the design and development of geospatial data pipelines and the infrastructure to deliver services to both internal and external consumers of data
- You'll scale up and optimise existing ML lifecycle processes (on both cloud & local GPU machines)
- You'll contribute to internal ML tooling that is critical for us to scale
- Those who are successful will progress quickly, either as individual contributors or following a management path.
We’re looking for someone who:
- Cares deeply about the climate and ecosystems of earth
- Is a self-starter who thrives in constantly evolving environments, ideally with early-stage start-up experience
- 2+ years of experience processing geospatial data with Python
- Familiar with Python libraries e.g. xarray, geopandas, numpy, pandas, sklearn, pytorch
- Has experience with Docker as a deployment mechanism
- Has experience with CI/CD tools (preferably CircleCI)
- Has experience with cloud infrastructure (preferably AWS)
Nice to have:
- Being familiar with Machine Learning concepts
- SQL skills
- Experience with Airflow
You are applying for Geospatial Data Engineer.