Senior AI/ML Engineer: GenAI, MLOps & SageMaker

Ethereum Technologies; Pennsylvania; Presencial; USD 150.000 - 210.000; Jornada completa

Descripción de la vacante

Ethereum Technologies is seeking a senior AI/ML engineer to design and deploy production-grade ML systems in a US-based environment. You will build scalable data pipelines, manage model lifecycles in AWS, and implement agentic frameworks for secure tool orchestration while collaborating with product owners and business partners.

You will leverage TensorFlow, PyTorch, and Scikit-learn, work with AWS SageMaker/Glue/Bedrock/Lambda, and apply MDLC best practices.

Formación

• Bachelor’s or higher in CS/Engineering (Master’s preferred).
• 6+ years in AI/ML engineering, data engineering, and MLOps.
• Designing and deploying production-grade ML systems.
• Building scalable data pipelines and ML workflows.
• Managing model lifecycle in cloud environments.
• Proficient in Python and ML frameworks (TF, PyTorch, Sklearn).
• Strong AWS ML Stack experience (SageMaker, Glue, Bedrock, Lambda).
• GenAI model development with RAG.
• Agentic frameworks (LangGraph, AutoGen) and MCP orchestration experience.
• Knowledge of React UI, GraphDB, and GenAI model evaluation.
• CI/CD, Docker, Kubernetes; software engineering fundamentals.
• Familiar with MDLC and reproducibility practices.
• Strong communication and cross-team collaboration.
• Ability to thrive amid ambiguity at scale.

Responsabilidades

• Implement agentic frameworks (LangGraph/AutoGen) and MCP for secure tool orchestration.
• Develop LLM-based applications with RAG, structured output, and evaluation frameworks.
• Deploy models using AWS SageMaker pipelines, ECS/ECR, and Lambda; manage CI/CD and monitoring.
• Integrate Okta/JWT for API authentication and enforce token validation.
• Deliver artifacts required by MDLC (Model Documents, Data Dictionary, Monitoring Plan).
• Collaborate with PO and business stakeholders to align solutions with objectives.

Conocimientos

Python

ML engineering

Data pipelines

MLOps

Cloud environments

Security

Communication

Ambiguity handling

Educación

Bachelor's degree in Computer Science/Engineering

Master's degree preferred

Herramientas

TensorFlow

PyTorch

Scikit-learn

AWS SageMaker

AWS Glue

AWS Bedrock

AWS Lambda

Docker

Kubernetes

Git

Descripción del empleo

Ethereum Technologies is seeking a senior AI/ML engineer to design and deploy production-grade ML systems in a US-based environment. You will build scalable data pipelines, manage model lifecycles in AWS, and implement agentic frameworks for secure tool orchestration while collaborating with product owners and business partners.

You will leverage TensorFlow, PyTorch, and Scikit-learn, work with AWS SageMaker/Glue/Bedrock/Lambda, and apply MDLC best practices.