AI/ML Engineer

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
• Create scripts and tools to automate repetitive technical tasks
• Create data transformation and normalization 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

Requirements

• 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
• Knowledge of 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
• Excellent documentation and communication abilities

Desired Skills

• 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, Hadoop)
• Experience supporting federal cybersecurity programs

Benefits

• Medical
• Dental
• Vision
• Basic Life Health
• Saving Account
• 401K Matching
• Three weeks of PTO/Sick
• Eleven Paid Holidays
• Pre-Approved Online Training