We are looking for a Machine Learning Engineer specializing in Computer Vision to join our dynamic and innovative team. You will work on developing and deploying machine learning models tailored for geospatial data, image processing, and feature extraction tasks. Your contributions will directly enhance our solutions for rugged industrial environments, pushing the boundaries of what's possible in the mining and geotechnical sectors.

• Develop, train, and optimize computer vision models for tasks including:
  • Image segmentation and feature extraction from geological data.
  • Object detection and classification for field operations.
  • 3D point cloud processing and reconstruction.
• Implement pipelines for preprocessing, annotation, and augmentation of geospatial and image datasets.
• Collaborate with the software team to integrate AI models into applications.
• Research and integrate the latest advancements in computer vision and machine learning.
• Analyze and improve existing algorithms to increase efficiency and accuracy.

• Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field (Ph.D. is a plus).
• Proven experience with machine learning frameworks such as TensorFlow, PyTorch, or JAX.
• Strong understanding of computer vision techniques, including image segmentation, feature extraction, and 3D data processing.
• Familiarity with computer vision libraries like OpenCV, Detectron, or PointNet.
• Proficiency in Python and version control systems like Git.
• Knowledge of deploying machine learning models using Docker, Kubernetes, or cloud services (AWS/GCP/Azure).

• Experience working with geological or geospatial datasets.
• Knowledge of 3D computer vision, photogrammetry, or LIDAR processing.
• Background in reinforcement learning, transfer learning, or generative models (e.g., GANs).
• Contributions to open-source projects or relevant publications.

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