Machine Learning Engineer

About the Role

Citylogix Inc. (formerly named StreetScan) is seeking a highly skilled Machine Learning Engineer. This role involves developing and deploying machine learning models specifically for geospatial applications, including processing LiDAR data and satellite imagery. Working closely with the R&D team, you will create innovative solutions for geospatial tasks, such as object detection and 3D mapping.

Key Responsibilities

• Develop, train, and deploy machine learning models for geospatial data processing.
• Design algorithms for feature extraction, object detection, classification, and segmentation of LiDAR point clouds.
• Analyze large-scale datasets like aerial imagery and GIS data.
• Optimize models for performance and scalability.
• Collaborate with cross-functional teams to integrate ML solutions.
• Use cloud platforms (AWS, GCP, Azure) for processing and deployment.
• Stay updated on advancements in machine learning and geospatial technologies.

About the Candidate

The ideal candidate should possess:

• A Bachelor’s, Master’s, or PhD in relevant fields such as Computer Science or Geospatial Science.
• Proficiency in Python and machine learning libraries (TensorFlow, PyTorch).
• Experience in LiDAR processing tools (PDAL, PCL).
• Knowledge of GIS libraries (QGIS, GDAL).
• Hands-on experience in deep learning for image and point cloud analysis.
• Familiarity with cloud computing and containerization (Docker, Kubernetes).
• Strong analytical and problem-solving skills.

Nice-to-Have Skills

• Experience with 3D reconstruction or SLAM techniques.
• Knowledge of OpenCV and similar libraries for 3D manipulation.
• Familiarity with real-time geospatial data processing.

Benefits & Perks

• Competitive salary with performance-based bonuses.
• Comprehensive health, dental, and vision insurance.
• Opportunities for professional growth and development. If you are passionate about machine learning and geospatial data, we encourage you to apply and join our dynamic team!