Delivery Consultant Machine Learning Engineer

@ Amazon Web Services (AWS)

Job Description

Are you excited about building software solutions around large, complex Machine Learning (ML) and Artificial Intelligence (AI) systems? At AWS, our Delivery Consultant Machine Learning Engineer plays a key role in helping global enterprises derive business value through the adoption and automation of Generative AI (GenAI) solutions.

This role involves working closely with customers to design, implement, and manage AWS AI/ML and GenAI solutions, ensuring they meet technical requirements and business objectives. You will become a trusted advisor, gathering requirements, assessing existing infrastructures, and proposing migration and implementation strategies.

Key Responsibilities

• Implement end-to-end AI/ML and GenAI projects from concept to deployment.
• Design and implement scalable, secure machine learning pipelines and MLOps frameworks.
• Collaborate with cross-functional teams to operationalize data and AI models.
• Advise customers on AWS cloud architecture, emerging technologies, and best practices.
• Share knowledge through mentoring, training, and creating reusable assets.

Qualifications

Basic qualifications include cloud architecture experience, strong knowledge in data and ML engineering, and proficiency in SQL, Python, and other programming languages. Preferred qualifications include advanced AWS experience, certifications, and deep knowledge of ML frameworks and MLOps tooling.

Additional Information

This is a customer-facing role that may require travel to customer sites. AWS is an equal opportunity employer committed to diversity and inclusion. Compensation varies based on geographic markets, and a comprehensive benefits package is offered.

Key skills/competency

• AWS
• Machine Learning
• GenAI
• Cloud Architecture
• MLOps
• Python
• Data Engineering
• Consulting
• Security
• DevOps