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4 дня назад

Geospatial Platform Engineer (AI/ML)

137 000 - 200 200$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Geospatial Platform Engineer (AI/ML): Developing and operationalizing geospatial, imagery, and AI/ML data-driven applications with an accent on secure hybrid environments and containerized architectures. Focus on building scalable backend services, automating CI/CD pipelines, and integrating complex AI/ML model inference services.

Location: Must be a U.S. Citizen and must be based in McLean, VA for full-time onsite work.

Salary: $137,000 - $200,200 annually

Company

hirify.global is a spatial intelligence company forging new frontiers in geospatial and imagery capabilities to help decision makers navigate complex global environments.

What you will do

  • Develop and integrate backend services, APIs, and data connectors for geospatial, imagery, and AI/ML workflows.
  • Design and maintain containerized application architectures using Docker and Kubernetes (Rancher, RKE2).
  • Create and improve CI/CD pipelines and infrastructure automation using Ansible and Terraform.
  • Support geospatial visualization and 3D terrain modeling using frameworks like Cesium.
  • Operationalize AI/ML models at scale through integration, inference services, and deployment automation.
  • Troubleshoot complex issues across Linux, containers, networking, and AI/ML environments.

Requirements

  • Active TS/SCI security clearance with required polygraph.
  • U.S. Citizenship is strictly required.
  • Willingness to work onsite full time in McLean, VA.
  • Bachelor's degree in CS, Engineering, or related field with 8+ years of experience (7 for Master's, 6 for PhD).
  • Strong experience in Python, Java, C++, JavaScript, TypeScript, SQL, or Bash.
  • Proven experience with Docker, Kubernetes, and CI/CD in hybrid or classified environments.

Nice to have

  • Experience with Earth observation, EO/SAR, remote sensing, or full-motion video systems.
  • Familiarity with Cesium, OMAR image library, and 3D geospatial visualization.
  • Expertise in computer vision, object detection, classification, and model inference workflows.
  • Hands-on experience with PostGIS, Apache Airflow, Elasticsearch, and NVIDIA Triton.
  • Experience with AWS, Azure, HashiCorp Vault, and GitOps practices.

Culture & Benefits

  • Robust 401(k) plan with company match.
  • Unique perks including student loan repayment assistance and adoption reimbursement.
  • Comprehensive mental health resources and pet insurance.
  • Mission-driven work environment focused on high-impact spatial intelligence.

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