AI/ML Engineer

Node.Digital LLC

Arlington (VA)

On-site

USD 140,000 - 170,000

Full time

14 days+

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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

AI/ML Engineer - Location: Arlington, VA

Must have an active Top Secret Clearance

Node is supporting a U.S. Government customer to provide support for onsite incident response to civilian Government agencies and critical asset owners who experience cyber‑attacks, providing immediate investigation and resolution. Contract personnel perform investigations to characterize the severity of breaches, develop mitigation plans, and assist with the restoration of services.

Node is seeking an AI/ML Engineer to support this critical customer mission. The AI/ML Engineer will develop and implement automation solutions to support machine learning technology integration activities, focusing on agentic workflow development, automated analysis workflows, and integration automation. This role addresses manual workflow pain points and enables scaling of technology capabilities through intelligent automation.

Responsibilities

Develop automated data pipelines for machine learning technology integration initiatives
Create automation workflows for malware sample collection, detonation, and taxonomy
Implement AI/LLM integrations with Databricks and other cloud services
Implement data integration automation between pilot and production systems
Support Automated Malware Analysis (AMA) platform development and enhancement
Develop scripts and tools to automate repetitive technical tasks
Create data transformation and normalization automation
Support AI/ML data preparation 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
Support scaling automation from pilot to production environments
Optimize automation performance and efficiency
Collaborate with analysts to identify automation opportunities
Ensure automation solutions maintain data quality and integrity
Support continuous improvement of automated capabilities

Required Skills

U.S. Citizenship
Active Secret clearance; TS/SCI preferred
Ability to obtain Department of Homeland Security (DHS) Entry on Duty (EOD) Suitability
5+ years of experience 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 Machine Learning (ML) pipelines
Strong programming skills in Python, with experience in data manipulation libraries
Experience Amazon Bedrock (model access, endpoints, API Integration)
Knowledge of automation frameworks and orchestration tools
Experience with APIs and integration technologies
Understanding of database systems and data modeling
Familiarity with version control (Git) and CI/CD practices
Strong problem-solving and analytical skills
Ability to translate business requirements into automated solutions
Strong analytical and problem‑solving skills
Excellent documentation and communication abilities