Delivery Consultant- Ai/ml, Data & Machine Learning (dml)

Amazon Amazon · Big Tech · Arlington, VA · Project/Program/Product Management--Technical

Machine Learning Engineer at AWS Professional Services focused on designing, implementing, and scaling AI/ML solutions for customers. This role involves architecting solutions, selecting/training/fine-tuning models, developing proof-of-concepts, and providing guidance on responsible AI adoption. Requires experience with ML/statistical modeling, GenAI performance benchmarking, computer vision, and a TS/SCI clearance.

What you'd actually do

  1. Designing and implementing complex, scalable, and secure AI/ML solutions on AWS tailored to customer needs, including selecting and fine-tuning appropriate models for specific use cases
  2. Developing and deploying machine learning models and generative AI applications that solve real-world business problems, conducting experiments and optimizing for performance at scale
  3. Collaborating with customer stakeholders to identify high-value AI/ML use cases, gather requirements, and propose effective strategies for implementing machine learning and generative AI solutions
  4. Providing technical guidance on applying AI, machine learning, and generative AI responsibly and cost-efficiently, troubleshooting throughout project delivery and ensuring adherence to best practices
  5. Acting as a trusted advisor to customers on the latest advancements in AI/ML, emerging technologies, and innovative approaches to leveraging diverse data sources for maximum business impact

Skills

Required

  • 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
  • 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 computer vision experience

Nice to have

  • 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

What the JD emphasized

  • must currently possess and maintain an active TS/SCI security clearance
  • Experience in defining and creating benchmarks for assessing GenAI model performance
  • 2+ years of computer vision experience

Other signals

  • designing and implementing complex, scalable, and secure AI/ML solutions on AWS
  • developing and deploying machine learning models and generative AI applications
  • collaborating with customer stakeholders to identify high-value AI/ML use cases
  • providing technical guidance on applying AI, machine learning, and generative AI responsibly and cost-efficiently