Node
AI/ML Engineer
Arlington, Virginia, United States
No sponsorshipDetected 13 days ago
TypeScriptPythonNode.jsGitDatabricksAWSDockerKubernetesCI/CDKafkaMachine LearningSparkAirflowData EngineeringData ScienceLLMsAI OrchestrationCybersecurityIncident ResponseCommunicationProblem SolvingHadoop
About the role
- This role addresses manual workflow pain points and enables scaling of technology capabilities through intelligent automation.
Responsibilities
- 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
Requirements
- Experience with APIs and integration technologies
- Familiarity with version control (Git) and CI/CD practices
- Ability to translate business requirements into automated solutions
Nice to have
- 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.
- Strong programming skills in Python, with experience in data manipulation libraries.
- Experience Amazon Bedrock (model access, endpoints, API Integration).
Skills
- Medical Dental Vision Basic Life Health Saving Account 401K Matching Three weeks of PTO/Sick 11 Paid Holidays Pre-Approved Online Training
- Experience with malware analysis automation or cybersecurity tools
- Knowledge of AI/ML pipelines and data preparation
- Experience with Databricks and Databricks AI
- Experience with workflow orchestration tools (Airflow, Prefect)
- Background in cybersecurity or threat intelligence automation
- Experience with containerization and orchestration (Docker, Kubernetes)
- Knowledge of streaming data platforms (Kafka, Kinesis)
- Familiarity with big data technologies (Spark,
Benefits
- Develop automated data pipelines for machine learning technology integration initiatives
Visa & Work Authorization
- 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 engine
This listing is sourced directly from Node's careers page and normalized into a canonical job model.