Senior Aerospace Data Scientist
SOTICAN SOTI Inc.
Lead aerospace AI/ML development at SOTI using multi-sensor analytics, model integration, and autonomous systems expertise in a hybrid setting.As a Data Scientist, Aerospace, you will own complex model development for autonomous drones and robotics. You will guide junior contributors while advancing perception, sensor fusion, and repeatable AI capabilities. The work spans diverse operational conditions and emphasizes reliable, test-ready delivery.Key Responsibilities:
Lead AI/ML work packages from data strategy through deploymentDesign RGB, thermal, LiDAR, radar, and IMU pipelinesDevelop detection, tracking, localization, and anomaly modelsEvaluate robustness, uncertainty, errors, and performance trade-offsMentor junior contributors and research contributorsRequirements:
Four to six years of relevant professional experienceOwnership of models through integration and validationStrong Python, deep-learning, data pipeline, and Linux experienceExperience with computer vision, sensor fusion, or robotics logsExperience mentoring contributors and communicating technical trade-offsApply aerospace data science expertise across perception, sensor fusion, integration, and validation for SOTI’s autonomous systems.
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Lead AI/ML work packages from data strategy through deploymentDesign RGB, thermal, LiDAR, radar, and IMU pipelinesDevelop detection, tracking, localization, and anomaly modelsEvaluate robustness, uncertainty, errors, and performance trade-offsMentor junior contributors and research contributorsRequirements:
Four to six years of relevant professional experienceOwnership of models through integration and validationStrong Python, deep-learning, data pipeline, and Linux experienceExperience with computer vision, sensor fusion, or robotics logsExperience mentoring contributors and communicating technical trade-offsApply aerospace data science expertise across perception, sensor fusion, integration, and validation for SOTI’s autonomous systems.
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Vacancy posted 33 minutes ago
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