Delivery Consultant – Machine Learning Engineer, Data and Machine Learning, WWPS US Federal

World's most comprehensive and broadly adopted cloud platform, pioneering cloud computing and continuous innovation.
Machine Learning
Mid-Level Software Engineer
Hybrid
3+ years of experience
AI · Enterprise SaaS · Cloud

Description For Delivery Consultant – Machine Learning Engineer, Data and Machine Learning, WWPS US Federal

Amazon Web Services Professional Services (ProServe) is seeking a skilled Delivery Consultant to join their team. This role involves working closely with customers to design, implement, and manage AWS solutions that meet technical requirements and business objectives. As a Delivery Consultant, you'll be instrumental in driving customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle. The position requires deep understanding of AWS products and services, proficiency in architecting complex, scalable, and secure solutions, and the ability to work with stakeholders to gather requirements and propose effective migration strategies. You'll be part of the global AWS Professional Services organization, working with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. The role demands expertise in machine learning, including experience with frameworks like PyTorch and TensorFlow, and AWS services such as SageMaker. This hybrid position requires at least 1+ days per week in the office or at customer sites, and candidates must be US citizens eligible for security clearance. AWS offers a collaborative, inclusive environment with opportunities for growth, mentorship, and work-life harmony.

Last updated a day ago

Responsibilities For Delivery Consultant – Machine Learning Engineer, Data and Machine Learning, WWPS US Federal

  • Design and implement complex, scalable, and secure AWS solutions
  • Provide technical guidance and troubleshooting support
  • Collaborate with stakeholders to gather requirements
  • Propose effective migration strategies
  • Act as a trusted advisor on industry trends and emerging technologies
  • Share knowledge through mentoring and training

Requirements For Delivery Consultant – Machine Learning Engineer, Data and Machine Learning, WWPS US Federal

Python
Kubernetes
Linux
  • Bachelor's degree in Computer Science, Engineering, related field, or equivalent experience
  • 3+ years of non-internship professional experience in Software development
  • 3+ years of experience in cloud architecture and implementation
  • 3+ years of experience in developing and deploying large-scale ML/DL models
  • Must be a US Citizen
  • Ability to obtain a Secret security clearance or higher

Benefits For Delivery Consultant – Machine Learning Engineer, Data and Machine Learning, WWPS US Federal

  • Flexible work hours
  • Career development opportunities
  • Mentorship programs
  • Inclusive team culture
  • Employee-led affinity groups

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