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 capabilitiesRequired 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 abilitiesDesired 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 programsRequired Education:BS in Computer Science, Data Science, or related degree, or HS Diploma and 7+ years of directly relevant experience. 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.