Geospatial AI/ML Engineer — Production ML & Data Pipelines

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

Benefits offered by this job

Healthcare (100% paid for employee)

Parental leave

401k with matching

Vacation time

Referral bonuses

Tuition reimbursement

Professional development

Beverages and snacks

Weekly catered lunches

Job summary

Reinventing Geospatial, Inc. (RGi) is a fast-paced geospatial software provider serving Defense, Intelligence, and Federal clients.

We build teams that deliver immediate impact, combining software with geospatial intelligence. As an AI/ML Engineer you will build and deploy data/ML applications, manage large-scale data pipelines, and translate mission needs into scalable solutions across cloud and containerized environments.

Qualifications

• Must have a current/active TS/SCI and be willing and able to obtain a CI polygraph.
• Bachelor's degree or equivalent years of experience.
• 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 inference 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

AI/ML software engineering

Data pipeline design

Distributed data processing

Cloud/GPU/CPU deployment

APIs (FastAPI/Django/Java)

Spark/PySpark

Data modeling

Effective communication

Education

Bachelor's degree in a relevant field

Tools

FastAPI

Django

Java

Apache NiFi

Spark/PySpark

Elasticsearch

Delta Lake

Job description

Reinventing Geospatial, Inc. (RGi) is a fast-paced geospatial software provider serving Defense, Intelligence, and Federal clients.

We build teams that deliver immediate impact, combining software with geospatial intelligence. As an AI/ML Engineer you will build and deploy data/ML applications, manage large-scale data pipelines, and translate mission needs into scalable solutions across cloud and containerized environments.