AI/ML Engineer

Nightwing•Dulles, VA

1d•$99,000 - $206,000•Onsite

About The Position

Nightwing is seeking an AI/ML Engineer to support a critical customer mission involving onsite incident response to civilian Government agencies and critical asset owners who experience cyber-attacks. The role focuses on developing and implementing automation solutions for machine learning technology integration, specifically agentic workflow development, automated analysis workflows, and integration automation. This position aims to address manual workflow inefficiencies and enable the scaling of technology capabilities through intelligent automation.

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
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

Nice To Haves

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

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