AI/ML Engineer — GenAI, MLOps & SageMaker Expert

MACHINE LEARNING TECHNOLOGIES LLC; Malvern (Chester County); Presencial; USD 150.000 - 190.000; Jornada completa

Descripción de la vacante

MACHINE LEARNING TECHNOLOGIES LLC in Malvern, PA is seeking an AI/ML Engineer with 6+ years to design and deploy production ML systems. You will implement agentic AI frameworks, build LLM-based apps with RAG, and orchestrate tools in secure cloud environments.

The role requires strong Python, AWS SageMaker, Docker, Kubernetes, and collaboration with product and business teams to align solutions with strategic objectives.

Formación

• Bachelor’s degree in CS, Engineering, or related field; Master’s preferred.
• 6+ years in AI/ML, data engineering, and MLOps.
• Experience with AWS ML Stack including SageMaker, Glue, Bedrock, Data Pipelines, Lambda.
• Proficient in Python and ML frameworks like TensorFlow, PyTorch, Scikit-learn.
• CI/CD, containerization, and orchestration tools.

Responsabilidades

• Agentic AI & MCP Integration: Implement agentic frameworks and MCP for secure tool orchestration.
• Generative AI Development: Build LLM-based applications with RAG and evaluation frameworks.
• AWS ML Engineering: Deploy models using SageMaker pipelines, ECS/ECR, Lambda; manage CI/CD and monitoring.
• Security & Identity: Integrate Okta/JWT token for API authentication; enforce token validation.
• Governance: Deliver artifacts required by MDLC/MPLC (Model Documents, Data Dictionary, Monitoring Plan).
• Collaboration: Partner with PO and business stakeholders to align solutions with objectives.

Conocimientos

Python

ML Engineering

Data Pipelines

CI/CD

Security

Team Collaboration

Problem Solving

Educación

Bachelor’s degree in CS/Engineering or related field

Master’s preferred

Herramientas

Docker

Kubernetes

Git

Descripción del empleo

MACHINE LEARNING TECHNOLOGIES LLC in Malvern, PA is seeking an AI/ML Engineer with 6+ years to design and deploy production ML systems. You will implement agentic AI frameworks, build LLM-based apps with RAG, and orchestrate tools in secure cloud environments.

The role requires strong Python, AWS SageMaker, Docker, Kubernetes, and collaboration with product and business teams to align solutions with strategic objectives.