Geomni is a division of Verisk Analytics. We create software and other technologies related to aerial imagery, and provide the world's most comprehensive and cutting-edge imagery data acquisition, process, analytics, and distribution. We serve a wide range of markets, including insurance, commercial property, energy, banking, architecture, engineering, emergency response, urban planning, and much more.

Developer of Machine Learning systems oriented to the detection of elements in aerial images.

Required experience:

• Machine learning, especially deep learning
• Python
• C++
• At least one of: Keras, TensorFlow, PyTorch
• Linux user
• Professional proficiency in English and Spanish

Valued scientific / technical skills:

• Digital image processing
• Computer vision
• 3D reconstruction
• Geodetics
• Optimization
• Statistics

Valued programming / IT skills:

• Scipy, OpenCV and other scientific libraries
• Matlab, Octave
• Using GPUs for deep learning
• Development ecosystem (IDEs, code versioning, continuous integration, issue management)

Personal skills

• Strong desire to learn and adapt new skills, tools and technologies
• Ability to prioritize and organize tasks
• Proactive, creative and flexible nature
• Ability to work in a multi-cultural team
• Positive attitude, flexibility.

The selected candidate will be surrounded by an exceptional team of professionals compromised with a great and cutting-edge project.

The selected candidate will be surrounded by an exceptional team of professionals compromised with a great and cutting-edge project.