Amazon Web Services
Delivery Consultant - AI/ML, AWS Professional Services
US, GA, Atlanta · 8d ago
Not specified3+ YOE
Quick summary
AI parsed- Experience
- 3+ years cloud architecture and solution implementation; 3+ years data/software/ML engineering with distributed computing; 3+ years predictive modeling, NLP, deep learning, and ML model deployment; 3+ years SQL, Python, and additional programming language (Java, Scala, JavaScript, TypeScript); AWS services knowledge (SageMaker, Bedrock, EC2, ECS, EKS, OpenSearch); MLOps experience (MLFlow, Kubeflow); GenAI technologies (LLMs, Vector Stores, LangChain)
Responsibilities
- Implement end-to-end AI/ML and GenAI projects, from understanding business needs to data preparation, model development, deployment and monitoring
- Design and implement machine learning pipelines that support high-performance, reliable, scalable, and secure ML workloads
- Design scalable ML solutions and operations (MLOps) using AWS services and leveraging GenAI solutions when applicable
- Collaborate with cross-functional teams to prepare, analyze, and operationalize data and AI/ML models
Benefits
Work/Life Balance and Flexibility · Mentorship and Career Growth · Inclusive Team Culture · Employee-led and company-sponsored affinity groups
Full description
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 Web Services Professional Services (…