Automation AI/ML Engineer: Data Pipelines & Integrations

Base One Technologies; Arlington (VA); On-site; USD 90,000 - 120,000; Full time

Job summary

Base One Technologies in Arlington, Virginia is seeking an AI/ML Engineer to develop and implement automation solutions aimed at integrating machine learning technologies. The role focuses on creating automated data pipelines and workflows, enhancing performance, and ensuring data integrity.

The ideal candidate will have over 5 years of experience in automation engineering, strong Python programming skills, and a BS in a relevant field. Join us and contribute to the advancement of intelligent automation in a cutting-edge environment.

Qualifications

• 5+ years of experience in automation engineering, data engineering, or software development.
• Experience with data ingestion pipeline design on AWS.
• Strong programming skills in Python, with experience in data manipulation libraries.
• Ability to obtain Department of Homeland Security (DHS) Entry on Duty (EOD) Suitability.
• Excellent documentation and communication abilities.

Responsibilities

• Develop automated data pipelines for machine learning technology integration.
• Create automation workflows for malware sample collection and taxonomy.
• Implement AI/LLM integrations with cloud services.
• Support Automated Malware Analysis (AMA) platform development.
• Collaborate with analysts to identify automation opportunities.

Skills

Automation engineering

Data engineering

Software development

Python programming

AWS data ingestion

AI/LLM integration

Machine Learning pipelines

API integration

Database systems

Git and CI/CD

Education

BS in Computer Science, Data Science, or related degree

Tools

Databricks

Docker

Kubernetes

Airflow

Spark

Hadoop

Job description

Base One Technologies in Arlington, Virginia is seeking an AI/ML Engineer to develop and implement automation solutions aimed at integrating machine learning technologies. The role focuses on creating automated data pipelines and workflows, enhancing performance, and ensuring data integrity.

The ideal candidate will have over 5 years of experience in automation engineering, strong Python programming skills, and a BS in a relevant field. Join us and contribute to the advancement of intelligent automation in a cutting-edge environment.