Model Development Software Engineer

AQUA IT
Springfield, VA, United States
28 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
2 years minimum
Working hours
Regular working hours
Job source

Tech stack

Amazon Web Services Data Analysis Cloud Engineering Databases Machine Learning Performance Tuning Cloud Platform System Machine Learning Operations Serverless Computing

Job description

  • Designing and implementing complex, scalable, and secure model development solutions on AWS tailored to customer needs, including selecting and fine-tuning appropriate models for specific use cases
  • Developing and deploying models and generative AI applications that solve real-world operational problems, conducting experiments and optimizing for performance at scale
  • Collaborating with customer stakeholders to identify high-value model development use cases, gather requirements, and propose effective strategies for implementing solutions

Requirements

  • 3+ years of AI model development analysis tools and techniques, and parameters that affect their performance.
  • Current, active US Government Security Clearance of TS/SCI or above
  • Experience in defining and creating benchmarks for assessing GenAI model performance
  • Experience applying quantitative analysis to solve business problems and working on multi-team, cross-disciplinary projects
  • 2+ years of GenAI model development experience

Preferred Requirements

  • Knowledge of AWS services including compute, storage, networking, security, databases, machine learning, and serverless technologies
  • Experience in performance optimization and cost management for cloud environments
  • Master’s degree or above in Science, Technology, Engineering, or Mathematics (STEM)
  • 2+ years of cloud architecture and solution implementation experience
  • Experience translating complex technical solutions and data-driven insights into clear, actionable recommendations for diverse audiences, including both technical and non-technical stakeholders

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