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SOTI

Enterprise mobility management and IoT platform

Data Scientist - Aerospace

Computer VisionPosted on Nov 10
Full-timeMississauga, ON, CanadaNo salary listedHybrid

About the Job

Requirements

  • Bring 4–6 years of professional experience in data science, artificial intelligence/machine learning, perception, sensor fusion, autonomous systems, or related engineering.
  • Demonstrate ownership of models or data products from requirements through integration and validation.
  • Have strong experience with Python, deep-learning frameworks, data pipelines, experiment tracking, version control, and Linux environments.
  • Have practical experience with multi-modal data, computer vision, sensor fusion, robotics logs, edge inference, or simulation with the ROS2 framework.
  • Understanding of Kalman filtering, Bayesian estimation, tracking, coordinate transformations, time synchronization, path planning, navigation, and uncertainty is strongly preferred.
  • Experience mentoring junior contributors and communicating technical trade-offs to senior stakeholders.

Responsibilities

  • Lead defined artificial intelligence/machine learning work packages spanning data strategy, modelling, integration, evaluation, deployment, monitoring, and technical documentation.
  • Design perception and sensor-fusion pipelines combining RGB, thermal, depth, LiDAR, radar, IMU, GNSS, telemetry, and environmental data.
  • Select and implement appropriate methods for object detection, segmentation, tracking, pose estimation, localization, mapping support, anomaly detection, forecasting, and decision support.
  • Define dataset coverage plans and simulation or synthetic-data strategies for rare events, difficult environments, and safety-related scenarios.
  • Lead error analysis, ablation studies, uncertainty evaluation, robustness testing, and model-performance trade studies.
  • Optimize models for GPU, NPU, CPU, or embedded platforms using quantization, pruning, compilation, batching, and architecture selection as appropriate.
  • Coordinate integration with autonomy, controls, embedded, cloud, robotics middleware, ground-control, and user-application teams.
  • Establish reproducible training, versioning, experiment-tracking, validation, and release practices for assigned solutions.
  • Investigate data drift, sensor failures, model degradation, false detections, localization errors, and field-test observations using structured root-cause analysis.
  • Mentor Associate, interns, and research contributors.

Desired Qualifications

  • Experience with MLOps, containers, continuous integration/continuous delivery, model registries, cloud platforms, or embedded deployment is an asset.

About the Company

SOTI

Enterprise mobility management and IoT platform

SOTI provides a complete suite for managing and securing business mobile devices, apps, and connected devices. Its core offering, the SOTI ONE Platform, combines several tools: MobiControl for mobile device management, Assist for mobile help-desk support, Snap for building custom apps without heavy coding, Insight for analytics, and Connect for IoT device management. The platform is designed to work across many device types and operating systems, enabling organizations to deploy, secure, and monitor their devices, apps, and data. SOTI differentiates itself by offering an integrated, enterprise-focused solution that covers the full lifecycle of mobility and IoT in one subscription-based platform, rather than relying on disparate tools. Its goal is to help large and medium-sized businesses run their operations smoothly by securely managing mobile and connected devices and the data they generate.

Company size
1,001-5,000
Company stage
Not listed
Total funding
Not listed
Headquarters
Mississauga, Canada
Founded
1995

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