Machine Learning Engineer

aqua IT • Springfield OR Herndon, VA

3d

About The Position

This role involves designing, implementing, and maintaining cloud-native infrastructure and deployment pipelines. The engineer will lead and architect scalable, secure, and resilient infrastructure solutions across multiple cloud environments. Key responsibilities include building and optimizing CI/CD pipelines for microservices, developing and maintaining full-stack applications with a focus on operational excellence, and implementing robust monitoring, logging, and alerting systems. A strong emphasis is placed on security-first infrastructure design and mentoring team members on DevOps best practices and cloud-native technologies.

Requirements

• Active TS/SCI required
• Bachelor's degree or above in Science, Technology, Engineering, or Mathematics (STEM)
• Experience in professional software engineering & best practices for the full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence
• 3+ years of machine learning/statistical modeling data analysis tools and techniques

Nice To Haves

• Master's degree or above in Science, Technology, Engineering, or Mathematics (STEM)
• Experience working on multi-team, cross-disciplinary projects
• Experience applying quantitative analysis to solve business problems and making data-driven business decisions
• Experience in defining and creating benchmarks for assessing GenAI model performance
• Experience with Python, SQL/NoSQL, and API development for building and deploying AI/ML solutions
• Experience working with Large Language Models (LLMs), prompt engineering, and generative AI frameworks

Responsibilities

• Design, implement, and maintain cloud-native infrastructure and deployment pipelines using Infrastructure as Code
• Lead and architect scalable, secure, and resilient infrastructure solutions across multiple cloud environments
• Build and optimize CI/CD pipelines for complex microservices architectures
• Develop and maintain full-stack applications while ensuring operational excellence and reliability
• Implement monitoring, logging, and alerting solutions for production systems
• Drive security-first infrastructure design and implementation
• Mentor team members on DevOps best practices and cloud-native technologies

What This Job Offers

• Job Type: Full-time
• Career Level: Senior