Applications Devleoper - III - SME

Base One Technologies; Arlington, Northern (VA, KY); Hybrid; USD 140,000 - 180,000; Full time

Job summary

Base One Technologies is seeking an AI/ML Engineer to design and implement automation solutions for machine learning integration. You will focus on agentic workflow development, automated analysis workflows, and integration automation to scale capabilities.

Responsibilities include building automated pipelines, AI/LLM integrations with cloud services, and data sharing APIs while ensuring data quality and system-wide efficiency. A DHS suitability path and strong Python skills are required.

Qualifications

• 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 Python programming and data manipulation libraries.
• Experience with ML pipelines.
• Knowledge of automation frameworks and orchestration tools.
• Experience with APIs and integration technologies.
• Familiarity with Git and CI/CD practices.
• U.S. Citizenship with ability to obtain DHS EOD Suitability.
• Active Secret clearance; TS/SCI preferred.
• Ability to translate business requirements into automated solutions.

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.

Skills

Python

Automation engineering

Data engineering

AWS data pipelines

AI/LLM integration

ML pipelines

Databricks

APIs

Git & CI/CD

Data modeling

SQL

Automation frameworks

Education

BS in Computer Science, Data Science, or related degree

HS Diploma + 7+ years of relevant experience

Tools

Databricks

Job description

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. This role addresses manual workflow pain points and enables scaling of technology capabilities through intelligent automation.

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 tasksCreate 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:

• 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

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

Required Education:

• BS in Computer Science, Data Science, or related degree, or HS Diploma and 7+ years of directly relevant experience

Desired Certifications:

• DoD 8140 IAT Level III
• CSSLP