AWS Professional Services is seeking a skilled Machine Learning Engineer to join as a Delivery Consultant. This role combines technical expertise in AI/ML with customer-facing responsibilities, helping enterprises implement and optimize their machine learning solutions on AWS.
The position involves working with cutting-edge technologies including Generative AI, building end-to-end ML pipelines, and architecting scalable solutions. You'll collaborate with global enterprises to drive business value through AI/ML adoption, while working within Amazon's innovative culture that has been shaping the world's AI technology for decades.
As a Delivery Consultant, you'll design and implement complex ML solutions, work with massive datasets, and apply AI/ML across diverse enterprise use cases. The role requires both technical depth in machine learning and the ability to serve as a trusted advisor to customers, providing guidance on industry trends and innovative solutions.
Key responsibilities include implementing end-to-end AI/ML projects, designing scalable MLOps solutions, and collaborating with cross-functional teams. You'll work within AWS Professional Services, a global team of experts helping customers achieve their desired business outcomes using AWS Cloud.
The ideal candidate combines strong technical skills in ML/AI with excellent communication abilities, as you'll need to explain complex concepts to both technical and non-technical audiences. The role offers opportunities for continuous learning, knowledge sharing, and working with the latest AI technologies including GenAI.
AWS values diverse experiences and provides comprehensive benefits including medical insurance, work-life balance, and career growth opportunities. The position may involve travel to customer sites and offers competitive compensation based on location and experience.
Join AWS to be part of a team that's driving innovation in cloud computing and AI, while helping customers transform their businesses through technology. You'll have access to mentorship, ongoing learning experiences, and a culture that embraces diversity and inclusion.