Applications Developer - III

Solutionz Inc.
Arlington, United States of America
6 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Arlington, United States of America

Tech stack

Artificial Intelligence
Airflow
Amazon Web Services (AWS)
Big Data
Computer Security
Computer Programming
Databases
Continuous Integration
Data Cleansing
Information Engineering
Data Integration
Data Transformation
Data Sharing
Hadoop
Python
Machine Learning
Performance Tuning
Cloud Services
Security Software
Software Engineering
Data Streaming
Workflow Management Systems
Data Processing
Feature Engineering
Data Ingestion
Large Language Models
Spark
Malware
GIT
SC Clearance
Containerization
Kubernetes
Information Technology
Deployment Automation
Kafka
Machine Learning Operations
Software Version Control
Data Pipelines
Api Management
Docker
Databricks

Job description

Solutions Technology Inc. (STI) is seeking a talented and driven AI/ML Engineer to join our team in Arlington, VA. In this role, you will play a vital part in designing, developing, and deploying machine learning models that support our critical customer mission. You will work closely with a multidisciplinary team to build scalable AI/ML solutions, streamline data pipelines, and drive forward data-driven innovations in a fast-paced, agile environment.

The ideal candidate will have a broad technical background, a solid understanding of applicable analytics, and a natural curiosity for producing effective solutions. This person is patient, has excellent time-management skills, and practices of effective communication style. 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 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

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

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.

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