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Reinventing Geospatial

Geospatial C5ISR solutions for national security

AI/ML Engineer

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeSpringfield, VA, USA

About the Job

Requirements

  • A bachelor's degree in a relevant field is required, although equivalent years of experience may be substituted.
  • At least 10 years of software engineering experience, including 2 years focused on artificial intelligence or machine learning.
  • Experience developing and deploying analytics, machine-learning, or data-intensive applications and services.
  • Experience building application programming interfaces or production services using technologies such as FastAPI, Django, Java, or equivalent frameworks.
  • Experience with data modeling, extract/transform/load or extract/load/transform processes, data quality, transformation logic, and analytical or search-oriented data stores.
  • Ability to translate ambiguous mission or customer problems into practical data, analytics, and software solutions.
  • Experience with distributed data engineering using Apache Spark or PySpark, Hadoop Distributed File System, Delta Lake, Elasticsearch, or similar technologies across large-scale datasets.
  • Experience deploying and operating machine-learning models and inference services at scale across graphics processing unit or central processing unit clusters or containerized environments.
  • Must hold an active Top Secret/Sensitive Compartmented Information clearance and be willing and able to obtain a counterintelligence polygraph.
  • U.S. citizenship is required.

Responsibilities

  • Build and deploy data and machine-learning applications and application programming interfaces that turn analytics and machine-learning capabilities into reliable production services.
  • Engineer and manage large-scale data pipelines and platforms, including data modeling, extract/transform/load or extract/load/transform, transformation, data quality, and distributed technologies such as Spark/PySpark and Elasticsearch.
  • Translate mission and customer needs into scalable technical solutions, including deploying and operating machine-learning models and inference services across cloud, containerized, and graphics processing unit or central processing unit environments.
  • Collaborate with mission, engineering, and data teams to design practical solutions connecting customer needs, data, analytics, software, and machine learning.

Desired Qualifications

  • A strong data engineering background is a plus.
  • Previous experience with Apache NiFi.

About the Company

Reinventing Geospatial

Geospatial C5ISR solutions for national security

Preparing description.

Company size
51-200
Company stage
Not listed
Total funding
Not listed
Headquarters
Fairfax, VA
Founded
2009

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