Delivery Consultant- AI/ML, Data & Machine Learning (DML)
AI summary of the role
As a Machine Learning Engineer in AWS Professional Services, you will design, implement, and scale AI/ML and generative AI solutions directly with customers, guiding them through their AI transformation journey.
What you’ll do
- Design and implement complex, scalable, secure AI/ML solutions on AWS, including model selection and fine-tuning
- Develop and deploy ML models and generative AI applications, running experiments and optimizing performance at scale
- Collaborate with customer stakeholders to identify high-value use cases and propose implementation strategies
- Provide technical guidance on responsible, cost-efficient AI/ML and troubleshoot throughout project delivery
What you’ll bring
- 3+ years of machine learning/statistical modeling experience
- 2+ years of cloud architecture and solution implementation experience
- Experience in professional software engineering and full SDLC best practices
- Experience defining and creating benchmarks for GenAI model performance
Technologies
AWS · machine learning · generative AI · GenAI · cloud architecture · statistical modeling · data analysis · serverless · AWS Partner Network
About Amazon (incl AWS)
Online retail, third-party marketplace, Prime/ads/devices, and AWS — the world's largest cloud platform powering startups and enterprises.
Public
Employer postings · Data from · Sources