Geospatial AI/ML Engineer — Production ML & Data Pipelines

Reinventing Geospatial (RGi); Springfield (VA); Presencial; USD 150.000 - 210.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Healthcare (100% paid for employee)

Parental leave

401k with matching

Vacation time

Referral bonuses

Tuition reimbursement

Professional development

Beverages and snacks

Weekly catered lunches

Descripción de la vacante

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.

Formación

• 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.

Responsabilidades

• 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.

Conocimientos

AI/ML software engineering

Data pipeline design

Distributed data processing

Cloud/GPU/CPU deployment

APIs (FastAPI/Django/Java)

Spark/PySpark

Data modeling

Effective communication

Educación

Bachelor's degree in a relevant field

Herramientas

FastAPI

Django

Java

Apache NiFi

Spark/PySpark

Elasticsearch

Delta Lake

Descripción del empleo

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.