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, working directly with AWS customers to design, implement, and manage cloud solutions. The position requires deep knowledge of AWS services and machine learning technologies, with a focus on implementing large-scale ML systems.

As a Delivery Consultant, you'll be part of the AWS Professional Services organization, a global team helping customers achieve their business outcomes using AWS Cloud. The role involves working closely with customer teams and AWS Partner Network (APN) to execute enterprise cloud computing initiatives. You'll provide technical guidance on ML implementations, cloud architecture, and best practices.

The position offers significant growth opportunities within AWS, with access to mentorship, knowledge-sharing, and career development resources. AWS values diverse experiences and maintains an inclusive team culture, supporting work-life harmony through flexible arrangements. However, this is not a fully remote position - you'll need to be present in the office or at customer sites at least 1+ days per week.

Key technical aspects include working with AWS services like SageMaker, EMR, and EC2, implementing ML/DL models, and managing the full ML lifecycle from training to production. You'll need expertise in Python and frameworks like PyTorch and TensorFlow, plus strong architecture skills for designing scalable solutions.

This role requires US citizenship and the ability to obtain a Secret security clearance, reflecting the sensitive nature of some projects. You'll be joining a company known for innovation and customer obsession, with opportunities to work on cutting-edge ML solutions while helping customers transform their businesses through AWS technology.