AI/ML Engineer

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

Requirements:

• Must be willing to work in SCIF daily or as needed, and participate in on-call rotation for production support as needed 

• 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 (but not required): 

• 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