Senior AI/ML Engineer — Geospatial Defense Platform

Reinventing Geospatial Inc

Springfield (VA)

On-site

USD 150,000 - 210,000

Full time

14 days+

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Benefits offered by this job

100% paid employee healthcare & dental
Paid parental leave
401k with matching
Escalating vacation time
Referral bonuses
Tuition reimbursement
Professional development training
Free beverages and snacks
Weekly catered lunches and breakfast

Job summary

Reinventing Geospatial, Inc. (RGi) seeks an AI/ML Engineer to build and deploy data/ML applications, manage large-scale data pipelines, and deploy ML models across GPU/CPU clusters and cloud environments.

You will translate mission needs into scalable solutions and collaborate with cross-functional teams in a fast-paced setting in Virginia. The role requires 10+ years in software engineering with 2+ years in AI/ML, Bachelor's degree or equivalent experience, and expertise in Spark/PySpark, APIs,

Qualifications

  • Must have a current/active TS/SCI and be willing and able to obtain a CI polygraph.
  • Bachelor's degree in a relevant field. Equivalent years of experience may be substituted in lieu of a degree.
  • At least 10+ years of experience as in software engineering, with 2+ years AI/ML focus.
  • Experience developing and deploying analytics, machine learning, or data-intensive applications and services.
  • Experience building APIs or production services using technologies such as FastAPI, Django, Java, or equivalent frameworks.
  • Experience with data modeling, ETL/ELT, 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/PySpark, HDFS, Delta Lake, Elasticsearch, or similar technologies across large-scale datasets.
  • Experience deploying and operating machine learning models and inferenceservices at scale across GPU/CPU clusters or containerized environments.
  • Strong data engineering background is a plus.
  • Previous experience with Apache NiFi.

Responsibilities

  • Build and deploy data/ML applications and APIs that turn analytics and machine-learning capabilities into reliable production services.
  • Engineer and manage large-scale data pipelines and platforms, including data modeling, ETL/ELT, transformation, data quality, and distributed technologies like Spark/PySpark and Elasticsearch.
  • Translate mission/customer needs into scalable technical solutions, including deploying and operating ML models and inference services across cloud, containerized, and GPU/CPU environments.
  • Collaborate with mission, engineering, and data teams to design practical solutions that connect customer needs, data, analytics, software, and machine learning.

Skills

TS/SCI clearance
Problem solving
Requirements translation
API development
Distributed data engineering
GPU/CPU deployment
Team communication

Education

Bachelor's degree in a relevant field

Tools

FastAPI
Django
Java
Apache Spark/PySpark
HDFS
Delta Lake
Elasticsearch
Apache NiFi

Job description

Reinventing Geospatial, Inc. (RGi) seeks an AI/ML Engineer to build and deploy data/ML applications, manage large-scale data pipelines, and deploy ML models across GPU/CPU clusters and cloud environments.

You will translate mission needs into scalable solutions and collaborate with cross-functional teams in a fast-paced setting in Virginia. The role requires 10+ years in software engineering with 2+ years in AI/ML, Bachelor's degree or equivalent experience, and expertise in Spark/PySpark, APIs,

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