Delivery Consultant - AI/ML, WWPS Professional Services

About the role

The AWS Professional Services team is seeking a skilled ML Engineer to join our team as a Delivery Consultant. In this role, you'll work closely with customers to design, implement, and manage AWS AI/ML and GenAI solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the ML project lifecycle.

Responsibilities

• Implementing end-to-end AI/ML and GenAI projects, from understanding business needs to data preparation, model development, deployment and monitoring
• Designing and implementing machine learning pipelines that support high-performance, reliable, scalable, and secure ML workloads
• Designing scalable ML solutions and operations (MLOps) using AWS services and leveraging GenAI solutions when applicable
• Collaborating with cross-functional teams (Applied Science, DevOps, Data Engineering, Cloud Infrastructure, Applications) to prepare, analyze, and operationalize data and AI/ML models
• Serving as a trusted advisor to customers on AI/ML and GenAI solutions and cloud architectures
• Sharing knowledge and best practices within the organization through mentoring, training, publication, and creating reusable artifacts
• Ensuring solutions meet industry standards and supporting customers in advancing their AI/ML, GenAI, and cloud adoption strategies

Qualifications

• 3+ years of cloud architecture and solution implementation experience
• Knowledge of the primary AWS services (EC2, ELB, RDS, Route53 & S3)
• Experience presenting technical solutions to diverse audiences in pre-sales environments
• 5+ years of IT implementation experience preferred
• Advanced degree in advanced technology or AWS Professional level certification preferred
• Knowledge of AWS services including compute, storage, networking, security, databases, machine learning, and serverless technologies
• Knowledge of security and compliance standards including HIPAA and GDPR
• Experience and technical expertise (design and implementation) in cloud computing technologies
• Experience leading the design, development and deployment of business software at scale or recent hands-on technology infrastructure, network, compute, storage, and virtualization experience
• Experience communicating technical concepts to diverse audiences in pre-sales environments
• Experience in performance optimization and cost management for cloud environments