Machine Learning Engineer

 Description of Services/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

Basic 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

Preferred Qualifications:

- 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