Senior AI/ML Engineer - Geospatial Analytics & Defense

Socket.dev; Springfield (VA); On-site; USD 140,000 - 190,000; Full time

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) is a fast-paced small business delivering geospatial software to Defense, Intelligence, and Federal clients.

We solve complex problems and empower soldiers and analysts with mission-ready data and tools. As an AI/ML Engineer you will build and deploy data/ML applications, manage large-scale pipelines, and deploy ML models across cloud and containerized environments, collaborating across mission, engineering, and data teams to deliver scalable, production-ready

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 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 experience

API development

Data modeling

Data engineering

Problem solving

Education

Bachelors degree in a relevant field

Tools

FastAPI

Django

Java

Spark/PySpark

Elasticsearch

HDFS/Delta Lake

NiFi

Job description

Reinventing Geospatial, Inc. (RGi) is a fast-paced small business delivering geospatial software to Defense, Intelligence, and Federal clients.

We solve complex problems and empower soldiers and analysts with mission-ready data and tools. As an AI/ML Engineer you will build and deploy data/ML applications, manage large-scale pipelines, and deploy ML models across cloud and containerized environments, collaborating across mission, engineering, and data teams to deliver scalable, production-ready