Model Development Software Engineer with Security Clearance
Why this role stands out
This is an exceptional opportunity to leverage your expertise in AI/ML and Generative AI to develop cutting-edge solutions for national security, offering significant impact and continuous learning within a dynamic AWS environment. If you thrive on solving complex challenges, possess an active TS/SCI clearance with CI Polygraph, and have a passion for building and deploying advanced models, you'll find this hybrid role incredibly rewarding. Apply now to contribute to critical missions and advance your career in a highly respected organization.
Quick overview
Job description
Position Title: Model Development Software Engineer Clearance Required: Active TS/SCI with CI Polygraph Position Overview
We are seeking a highly skilled Model Development Software Engineer to support a National Security customer within AWS Professional Services. This role focuses on developing, deploying, and optimizing advanced AI/ML and Generative AI solutions in classified cloud environments. The ideal candidate will have hands-on experience building and evaluating AI models, deploying scalable cloud-based solutions, and collaborating directly with mission stakeholders to solve complex operational challenges.
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Key Responsibilities
- Design, develop, and implement secure, scalable AI/ML model development solutions within AWS environments.
- Select, customize, and fine-tune machine learning and Generative AI models for mission-specific use cases.
- Develop, test, and deploy AI-powered applications that address real-world operational requirements.
- Create and execute benchmark frameworks to assess GenAI model accuracy, performance, and effectiveness.
- Conduct experiments and performance evaluations to optimize models for scalability, efficiency, and mission impact.
- Collaborate with customer stakeholders to identify high-value AI use cases and translate requirements into technical solutions.
- Apply quantitative analysis and data-driven methodologies to solve complex business and operational problems.
- Work across multidisciplinary teams to deliver innovative AI capabilities in secure environments.
- Communicate technical findings and recommendations to both technical and non-technical audiences.
Required Qualifications
- Active TS/SCI clearance with CI Polygraph.
- Minimum 3 years of experience with AI model development tools, techniques, and performance evaluation methodologies.
- Minimum 2 years of hands-on Generative AI model development experience.
- Experience designing benchmarks and evaluation frameworks for GenAI model performance.
- Strong background in quantitative analysis and data-driven decision-making.
- Experience working on cross-functional and multidisciplinary technical teams.
- Ability to operate effectively within classified and secure development environments.
Preferred Qualifications
- Experience with AWS services including: o Amazon EC2 o Amazon S3 o AWS VPC o AWS IAM o Amazon RDS o Amazon SageMaker o AWS Lambda and other serverless technologies
- Experience optimizing cloud-based solutions for performance and cost efficiency.
- Minimum 2 years of cloud architecture and implementation experience.
- Master's degree or higher in: o Computer Science o Data Science o Artificial Intelligence o Engineering o Mathematics o Related STEM field
- Proven ability to explain complex technical concepts and data insights to diverse stakeholders.
Desired Skills
- Large Language Models (LLMs)
- Model Fine-Tuning and Optimization
- Retrieval-Augmented Generation (RAG)
- Prompt Engineering
- MLOps and Model Deployment
- AI Evaluation Frameworks
- Python Development
- AWS Cloud Architecture
- SageMaker
- Machine Learning Operations
- Data Analytics and Visualization
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