Security-Cleared AI/ML Automation Engineer

Node.Digital LLC; Arlington (VA); On-site; USD 140,000 - 170,000; Full time

Benefits offered by this job

Medical

Dental

Vision

Basic Life

Health Saving Account

401K Matching

Three weeks of PTO/Sick

11 Paid Holidays

Pre-Approved Online Training

Job summary

Node.Digital LLC is seeking an AI/ML Engineer in Arlington, VA to develop automated data pipelines and automation workflows for ML integrations and threat analytics. The role focuses on agentic workflow development, automated analysis workflows, and scalable automation across pilot and production environments.

Responsibilities include integrating AI/LLM and Databricks with cloud services, building data pipelines, and automating data preparation, monitoring, and API workflows.

Qualifications

• U.S. Citizenship required.
• Active Secret clearance; TS/SCI preferred.
• Ability to obtain DHS EOD suitability.
• 5+ years in automation engineering, data engineering or software development.
• Experience with data ingestion pipeline design on AWS.
• Experience with AI/LLM configuration, tuning and integration.
• Experience with ML pipelines and data preparation.
• Strong Python programming skills and data libraries.
• Experience with Databricks and cloud integrations.
• Familiarity with version control (Git) and CI/CD.

Responsibilities

• Develop automated data pipelines for ML technology integration.
• Create automation workflows for malware sample collection, detonation, taxonomy.
• Implement AI/LLM integrations with Databricks and cloud services.
• Automate data integration between pilot and production systems.
• Support AMA platform development and enhancement.
• Develop scripts to automate repetitive technical tasks.
• Transform and normalize data automatically.
• Support AI/ML data prep and feature engineering automation.
• Develop monitoring and alerting automation for integrated systems.
• Implement API integrations for data sharing and workflow automation.
• Document automation solutions and maintain code repositories.
• Scale automation from pilot to production environments.
• Optimize automation performance and efficiency.
• Collaborate with analysts to identify automation opportunities.
• Ensure data quality and integrity in automated systems.

Skills

Python programming

Automation engineering

Machine learning pipelines

AWS data ingestion

API integration

Git & CI/CD

Data manipulation libraries

Problem solving

Analytical skills

Documentation

Education

BS in Computer Science or related field

Tools

Databricks

AWS

Docker

Kubernetes

Airflow

Prefect

Kafka

Kinesis

Git

CI/CD

Job description

Node.Digital LLC is seeking an AI/ML Engineer in Arlington, VA to develop automated data pipelines and automation workflows for ML integrations and threat analytics. The role focuses on agentic workflow development, automated analysis workflows, and scalable automation across pilot and production environments.

Responsibilities include integrating AI/LLM and Databricks with cloud services, building data pipelines, and automating data preparation, monitoring, and API workflows.