GenAI & ML Delivery Lead — ProServe

Amazon Web Services (AWS); New York (NY); On-site; USD 169,000 - 229,000; Full time

Job summary

Amazon Web Services, Inc. seeks a Delivery Consultant for the ProServe team to design, implement, and manage AWS solutions that meet clients' technical requirements and business objectives.

You will architect complex, scalable GenAI and ML apps, provide hands-on guidance across the project lifecycle, and work with stakeholders to capture requirements and migration strategies. As a trusted advisor, you’ll promote best practices, reduce risk, and share reusable artifacts while helping customers

Qualifications

• 5+ years building ML models for business applications.
• 3+ years training, fine-tuning, evaluating, and deploying AI/ML models in production.
• 3+ years customer-facing work with executives, technologists or partners to solve business problems using advanced tech.
• 3+ years coding, data querying languages (e.g. SQL), and scripting languages (e.g. Python).
• Experience with AWS ML services (SageMaker, Bedrock) and generative AI applications.

Responsibilities

• Design, implement, and build complex, scalable, secure GenAI/ML apps on AWS tailored to customer needs.
• Provide technical guidance and implementation support using AWS AI/ML services throughout project delivery.
• Collaborate with stakeholders to gather requirements and propose model training, building, and deployment strategies.
• Act as a trusted advisor to customers on industry trends and emerging technologies.
• Share knowledge within the organization through mentoring, training, and creating reusable artifacts.

Skills

ML modeling

Production ML

SQL

Python

Customer-facing

ML deployment

Tools

SageMaker

Bedrock

EC2

ECS

OpenSearch

LangChain

PyTorch

TensorFlow

Job description

Amazon Web Services, Inc. seeks a Delivery Consultant for the ProServe team to design, implement, and manage AWS solutions that meet clients' technical requirements and business objectives.

You will architect complex, scalable GenAI and ML apps, provide hands-on guidance across the project lifecycle, and work with stakeholders to capture requirements and migration strategies. As a trusted advisor, you’ll promote best practices, reduce risk, and share reusable artifacts while helping customers