Delivery Consultant - Machine Learning Engineer, WWPS ProServe

Amazon Web Services (AWS) Professional Services team is seeking a skilled Delivery Consultant specializing in Machine Learning Engineering. This role combines technical expertise with customer-facing responsibilities, where you'll design and implement AWS solutions for clients. You'll work at the intersection of cloud computing and machine learning, helping customers leverage AWS's comprehensive suite of services.

As a Delivery Consultant, you'll be responsible for architecting complex, scalable, and secure solutions tailored to customer needs. The role requires deep technical knowledge in machine learning, particularly in developing and deploying large-scale ML models using frameworks like PyTorch and TensorFlow. You'll work with AWS services such as SageMaker, EMR, and other cloud infrastructure components.

The position offers significant growth opportunities within AWS's global team of experts. You'll collaborate with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. The role combines technical implementation with strategic advisory, as you'll guide customers through their cloud journey and ML implementations.

Working at AWS means joining a culture of innovation where continuous learning is encouraged. The company offers flexible work arrangements, though this hybrid position requires at least 1+ days per week in the office or at customer sites. The role requires US citizenship and the ability to obtain a Secret security clearance, indicating work on sensitive projects.

This is an excellent opportunity for experienced ML engineers who want to impact enterprise-scale projects while working with cutting-edge cloud technology. You'll benefit from AWS's comprehensive professional development resources, mentorship opportunities, and a culture that values diversity and work-life harmony.