Amazon Web Services
Delivery Consultant - AI/ML, AWS Professional Services WWPS Life Science
US, GA, Atlanta · 1mo ago
Not specified3+ YOE
Quick summary
AI parsed- Experience
- 3+ years building machine learning and generative AI models for business applications; 3+ years customer-facing work with executives and technologists; 3+ years coding in Python, SQL; experience with AWS SageMaker, Bedrock, deep learning frameworks (PyTorch/TensorFlow); MLOps and ML pipeline development; optional: 2+ years with AI agents/LangChain, domain expertise in healthcare/life sciences
- Salary
- $131,300 - $195,400 USD annually (varies by location)
Responsibilities
- Implement end-to-end AI/ML and GenAI projects from business needs to data preparation, model development, deployment and monitoring
- Design and implement machine learning pipelines and scalable MLOps solutions using AWS services
- Collaborate with cross-functional teams to prepare, analyze, and operationalize data and AI/ML models
- Serve as trusted advisor to customers on AI/ML solutions and cloud architectures, sharing knowledge and best practices
Benefits
Health insurance (medical, dental, vision, prescription, basic life & AD&D) · 401(k) matching · Paid time off and parental leave · Flexible Spending Accounts · Adoption and Surrogacy Reimbursement coverage · EAP and Mental Health Support · Mentorship and career growth opportunities
Full description
Application deadline: Jul 23, 2026 Are you excited about building software solutions around large, complex Machine Learning (ML) and Artificial Intelligence (AI) systems? Want to help the largest global enterprises derive business value through the adoption and automation of Generative AI (GenAI)? Excited by using massive amounts of disparate data to develop AI/ML models? Eager to learn to apply AI/ML to a diverse array of enterprise use? Thrilled to be a key part of Amazon, who has been investing in Machine Learning for decades - pioneering and shaping the world’s AI technology? The Amazon …