Tech Stack

Description

You will develop and deploy AI/ML solutions including deep learning, LLM fine-tuning, and retrieval-augmented generation (RAG) while ensuring secure, scalable operations through automation and cloud-native strategies. You'll work on building containerized applications, automating CI/CD pipelines, and leveraging AWS services for scalable deployments. This role supports federal government clients in making the nation stronger and safer.

Requirements

• Experience in Python and Linux environments
• Experience with Docker, Kubernetes, and/or CI/CD pipelines
• Experience with and knowledge of AI/ML principles, including model development and evaluation
• Familiarity with web app development and database management
• Must have an active TS/SCI with polygraph level clearance

Responsibilities

• Develop and deploy AI/ML models, including deep learning, LLM fine-tuning, and retrieval-augmented generation (RAG)
• Build and manage containerized applications using Docker and Kubernetes (K8s)
• Automate CI/CD pipelines for secure and efficient delivery
• Leverage AWS services like Bedrock, SageMaker, and general cloud architecture for scalable deployments
• Build secure Linux-based systems and applications, including web apps (Flask/Django) and databases (e.g., graph databases)