Machine learning engineer / Data Scientist (offline)

A product company with FTSE 500 clients in 50+ countries around the world, is looking for a Machine Learning Engineer / Data Data Scientist to join the Satellite Tracking Unit, a web platform for processing and analysing satellite imagery and Earth remote sensing.


What we expect from the candidate:

Bachelor's or higher degree in Computer Science, Engineering, or a related field.
4+ years of commercial experience as a Machine Learning / Data Science specialist.
Proficiency and deep understanding of AI/ML algorithms.
Experience with computer vision algorithms, understanding of neural network architectures for such tasks.
Knowledge of DS libraries (sklearn, numpy, scipy, pandas, OpenCV, Pillow, etc.)
​​Experience with data visualization tools (matplotlib, seaborn)
Experience with neural-network frameworks (Tensorflow and/or PyTorch).
Experience working with raw data, understanding of cleaning criteria, data mining.
Good knowledge of Python.
Strong knowledge of SQL and database systems (e.g., PostgreSQL, MySQL, or NoSQL databases).
Knowledge of Docker.
Experience in deploying models for production (MLOps).
Experience with version control systems (Git).
Experience with data pipeline orchestration tools like Apache Airflow or similar.


Will be a benefit:

Experience with application deployment on Kubernetes.
Familiarity with cloud platforms (e.g., AWS, Azure, or GCP) and their data services.
Basics knowledge of raster and vector geospatial data structures and methods to analyse it.
Experience working with satellite data.
Familiarity with geospatial data processing libraries (e.g., GDAL/OGR, rasterio, shapely).
Product way of thinking.
Excellent problem-solving skills and attention to detail.
​​Ability to manage a high level of complexity.
Ability to work in a team and strong communication skills and the ability to work collaboratively in a team-oriented environment.
Fluency in English.

About Cropio

Cropio is a global leader in digital / agritech solutions, operating in more than 50 countries and helping to optimize business processes and improve the efficiency of agronomic decision-making.

Cropio is a SAAS for farmers that deals with computer vision, big data and AI.

For seekers, cooperation with Cropio is an opportunity to be part of a best-in-class product used by hundreds of companies around the world, and to deal with complex technical tasks in the field of neural networks and machine learning with the need to constantly improve their knowledge and skills, to find and implement unique engineering and technical solutions.

Company website:
https://www.linkedin.com/company/cropio