Data Scientist (Sovereign Territory Surveillance)
Core
Develop and deploy machine learning models for maritime and land border surveillance, focusing on detection, classification, and anomaly detection in time series and geospatial data.
Role type
Senior IC machine learning engineer (surveillance)
Builds
Automated security infrastructures for sovereign territory and maritime domain awareness
Domain
Defense & Security / Maritime Domain Awareness
Deliverable
production ML models
Required skills
Time series analysis, Computer vision, Anomaly detection, Geospatial data processing, Model optimization, MLOps, Containerization, CI/CD
Preferred skills
Video/radar detection models, Graph databases (Neo4j), Remote sensing imagery, Cloud deployment (AWS ECS/ECR)
Technologies
MLflow, Weights & Biases, Ray, Docker, AWS ECS/ECR, Neo4j
Responsibilities
Develop and evaluate ML models for behavior classification and track pattern recognition; Research and optimize vision and time-series models; Build scalable data pipelines for ingesting and processing maritime data; Collaborate with developers to integrate model outputs into user-facing features; Document model performance and experiment outcomes.
Seniority
Senior, hands-on IC