The Senior Cloud Systems Administrator will deploy and maintain secure, scalable AWS infrastructure while collaborating with development teams on CI/CD pipelines. They are responsible for system maintenance, patching, troubleshooting, and ensuring the security and availability of cloud-based systems.
The Software Integration Engineer will lead technical engagements to integrate spatial intelligence and AI products into ISR platforms like UAVs. They will conduct bench and field testing, develop integration procedures, and collaborate with cross-functional teams to ensure successful customer deployment.
The Machine Learning Engineer will build systems to transform raw satellite imagery into labeled data and develop machine learning models for geospatial products. Responsibilities include managing data pipelines, deploying production inference services, and ensuring high-quality, scalable data lineage.
The Data Scientist will develop statistical and machine learning models to detect kinematic behaviors using live and historical data. They will also collaborate with software engineers and stakeholders to build and sustain data pipelines and analytic applications.
You will lead the design, integration, and sustainment of mission-focused systems that support analytical workflows and operational users. You will also partner with software engineers and data scientists to ensure infrastructure and data pipelines operate reliably and securely.
Lead the design and implementation of statistical and machine learning models to detect kinematic behaviors using live and historical data. Collaborate with software engineers and stakeholders to integrate these analytics into mission-focused software applications and data pipelines.
The Program Manager will lead cross-functional teams in the execution of software, data science, and analytics programs while managing financial performance and customer deliverables. They are responsible for maintaining strong customer partnerships, overseeing project schedules, and ensuring technical alignment with mission objectives.
Lead the design and implementation of statistical and machine learning models to support mission-focused software capabilities. Collaborate with cross-functional teams to process, analyze, and visualize complex data for actionable insights.
Design, develop, and deploy AI-driven applications that transform large-scale geospatial data into actionable insights and predictive intelligence. Build and operate end-to-end AI/ML pipelines including data ingestion, preprocessing, feature engineering, training, evaluation, and production inference.
The Sales Director will drive growth by selling geospatial intelligence solutions to European defense OEMs, system integrators, and government end users. They will develop sales strategies, build relationships with senior stakeholders, and coordinate with internal teams to deliver proposals.
The Manager will lead customer success operations across the MEA region, managing strategic accounts and driving product adoption. They are responsible for coaching the regional team, producing executive-level operational reports, and ensuring customers realize maximum value from Vantor's platforms.
The AI Engineer Intern will contribute to spatial intelligence projects and collaborate with team members to solve complex problems. The role involves building innovative solutions and supporting the company's mission to help customers navigate current and future challenges.
The Strategic Account Manager will drive large, complex transactions and manage revenue quotas for existing government accounts in the Asia Pacific region. They are responsible for developing strategic capture plans, providing product updates, and acting as a trusted advisor to key government stakeholders.
Design, develop, and deploy AI-driven applications that transform large-scale geospatial data into actionable insights and predictive intelligence. Build and operate end-to-end AI/ML pipelines including data ingestion, preprocessing, feature engineering, training, evaluation, and production inference.
Design, develop, and deploy AI-driven applications that transform large-scale geospatial data into actionable insights and predictive intelligence. Build and operate end-to-end AI/ML pipelines including data ingestion, preprocessing, feature engineering, training, and production inference.
You will contribute to the research, development, and sustainment of mission-focused software applications, backend services, and data processing workflows. Additionally, you will support data scientists and mission partners by troubleshooting defects, improving performance, and participating in technical design efforts.
You will contribute to the development and sustainment of mission-focused software applications, backend services, and data processing workflows. The role involves collaborating with data scientists and stakeholders to build reliable, performance-optimized capabilities in an agile environment.
