3+ years of experience in machine learning and data analysis tools.
2+ years of hands-on experience with vision language models.
Experience in creating benchmarks for GenAI model performance assessment.
Proven ability to apply quantitative analysis to solve business problems.
Responsibilities
Design and implement complex vision language solutions on AWS for customers.
Develop and deploy models and generative AI applications for operational problem-solving.
Collaborate with stakeholders to identify valuable VLM use cases and gather requirements.
Benefits
Opportunity to work on cutting-edge AI technologies in a secure environment.
Collaborative work culture with cross-disciplinary teams.
Participation in high-stakes projects with direct impact on real-world applications.
Full Job Description
Responsibilities
Design and implement complex, scalable, and secure vision language solutions on AWS tailored to customer needs, including selecting and fine-tuning appropriate models for specific use cases
Develop and deploy vision language models and generative AI applications that solve real-world operational problems, conducting experiments and optimizing for performance at scale
Collaborate with customer stakeholders to identify high-value VLM use cases, gather requirements, and propose effective strategies for implementing solutions
Requirements
TS/SCI Clearance or higher
3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
2+ years of vision language model experience
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
Desired Skills
2+ years of cloud architecture and solution implementation experience
Knowledge of AWS services including compute, storage, networking, security, databases, machine learning, and serverless technologies
Master's degree or above in Science, Technology, Engineering, or Mathematics (STEM)
Experience in performance optimization and cost management for cloud environments
Experience translating complex technical solutions and data-driven insights into clear, actionable recommendations for diverse audiences, including both technical and non-technical stakeholders
