AI/ML Engineer (Cybersecurity)

TL;DR

AI/ML Engineer (AI/LLM & Cybersecurity): Developing and implementing automation solutions for machine learning technology integration and incident response with an accent on agentic workflows, automated analysis, and cloud-based AI integrations. Focus on building automated data pipelines, integrating LLMs via Amazon Bedrock and Databricks, and scaling malware analysis capabilities for government agencies.

Location: Arlington, VA. U.S. Citizenship and Active Secret clearance required.

Company

Small business specializing in IT, Cybersecurity, and Big Data Management for Federal, State, and Local agencies.

What you will do

• Develop automated data pipelines for machine learning technology integration initiatives.
• Create automation workflows for malware sample collection, detonation, and taxonomy.
• Implement AI/LLM integrations using Amazon Bedrock, Databricks, and other cloud services.
• Support the development and enhancement of the Automated Malware Analysis (AMA) platform.
• Build scripts and tools to automate repetitive technical tasks and data normalization.
• Optimize automation performance and scale solutions from pilot to production environments.

Requirements

• U.S. Citizenship and 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.
• Strong programming skills in Python and experience with data manipulation libraries.
• Experience with AWS data ingestion pipeline design and Amazon Bedrock (model access, endpoints, API integration).
• Proficiency with Machine Learning (ML) pipelines and AI/LLM configuration and tuning.

Nice to have

• Experience with Databricks AI and workflow orchestration tools like Airflow or Prefect.
• Background in cybersecurity, threat intelligence automation, or malware analysis.
• Experience with containerization (Docker, Kubernetes) and streaming platforms (Kafka, Kinesis).
• Familiarity with big data technologies such as Spark and Hadoop.
• DoD 8140 IAT Level III or CSSLP certifications.

Culture & Benefits

• Competitive salary with 401k company match and profit sharing.
• Comprehensive insurance: 95% employer-paid medical, dental, and vision coverages.
• 100% employer-paid life, STD, and LTD disability coverages.
• Flexible Spending Account (FSA) for dependent and health care.
• Generous time off including 11 standard holidays and 3 weeks of annual leave.