Artificial Intelligence Machine Learning Engineer
RadiantHire Solutions Inc.
- Location
- Onsite (Arlington, VA)
- Employment
- Full-time
- Level
- Senior Level
About the Role
RadiantHire Solutions Inc. is seeking an Artificial Intelligence/Machine Learning Engineer to develop and implement automation solutions for machine learning technology integration, focusing on agentic workflows and automated analysis. This role supports a U.S. Government customer by investigating and resolving cyber-attacks, developing mitigation plans, and restoring services.
Skills
Full job details
Title: Applications Developer III
Description:
Our client is supporting a U.S. Government customer to provide support for onsite incident response to civilian Government agencies and critical asset owners who experience cyber-attacks, providing immediate investigation and resolution. Contract personnel perform investigations to characterize the severity of breaches, develop mitigation plans, and assist with the restoration of services.
They are seeking an experienced and technically proficient Artificial Intelligence/Machine Learning Engineer to develop and implement automation solutions to support machine learning technology integration activities, focusing on agentic workflow development, automated analysis workflows, and integration automation. This role addresses manual workflow pain points and enables scaling of technology capabilities through intelligent automation.
Eligibility:
Must be a US Citizen
Must have an active Secret clearance with the ability to obtain a TS/SCI
Must be able to obtain DHS Suitability prior to starting employment
5+ years of experience in automation engineering, data engineering, or software development
Responsibilities Include:
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.
Required Skills:
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
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
Desired Certifications:
DoD 8140 IAT Level III
CSSLP
Required Education:Bachelor’s degree in Computer Science, Data Science, or related degree; or High School Diploma and 7+ years of directly relevant work experience