Key skills
AWSAzureCloudDockerKubernetesAIMLLLM
About this role
Role Overview
- design, create, and implement AI systems
- transform client operations
- increase data accessibility
- optimize AI and ML systems
- consider the broader ecosystem and operating environment
Requirements
- 3+ years of experience as a ML engineer
- experience building production-grade ML solutions
- experience working within data science or data research
- experience working in cloud environments (AWS or Azure)
- experience deploying ML models using tools such as Docker and Kubernetes
- experience with LLM, DL, and RL
- experience connecting agents to APIs, Cloud platforms, or databases
- experience evaluating LLM performance
- ability to obtain a Secret clearance
- bachelor's degree
Tech Stack
- AWS
- Azure
- Cloud
- Docker
- Kubernetes
Benefits
- health, life, disability, financial, and retirement benefits
- paid leave
- professional development
- tuition assistance
- work-life programs
- dependent care
- recognition awards program