Senior AI/ML Engineer – Geospatial Defense Systems

Reinventing Geospatial, Inc. (RGi); Springfield (VA); On-site; USD 150,000 - 210,000; Full time

Benefits offered by this job

Healthcare

Dental insurance

Parental leave

401k with matching

Vacation time

Referral bonuses

Tuition reimbursement

Professional development

Free beverages and snacks

Weekly catered lunches

Job summary

Reinventing Geospatial, Inc. (RGi) seeks an experienced AI/ML Engineer to build and deploy data/ML applications and APIs supporting mission analytics for defense and intelligence clients.

You will design large-scale data pipelines, apply Spark/PySpark and Elasticsearch, and deploy ML models across cloud, containerized, and GPU/CPU environments, collaborating with cross-functional teams from day one.

Qualifications

• Must have TS/SCI clearance and be willing to obtain CI polygraph.
• Bachelor's degree in a relevant field or equivalent experience.
• At least 10+ years 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 FastAPI, Django, Java, or equivalents.
• Experience with data modeling, ETL/ELT, data quality, transformation logic, and analytical or search-oriented data stores.
• Ability to translate ambiguous mission/customer problems into practical data, analytics, and software solutions.
• Experience with distributed data engineering using Apache Spark/PySpark, HDFS, Delta Lake, Elasticsearch, or similar.
• Experience deploying and operating ML models and inferences services 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

10+ years software engineering

AI/ML analytics

API development

Data modeling

ETL/ELT

Distributed data engineering

ML model deployment

NiFi

Education

Bachelor's degree in a relevant field

Tools

FastAPI

Django

Java

Spark/PySpark

Elasticsearch

HDFS

Delta Lake

Docker/Kubernetes

Job description

Reinventing Geospatial, Inc. (RGi) seeks an experienced AI/ML Engineer to build and deploy data/ML applications and APIs supporting mission analytics for defense and intelligence clients.

You will design large-scale data pipelines, apply Spark/PySpark and Elasticsearch, and deploy ML models across cloud, containerized, and GPU/CPU environments, collaborating with cross-functional teams from day one.