Description

You will design, develop, and implement AI/ML models and frameworks to improve member experience and decision-making.

This role is remote.

Responsibilities

• Extend intelligent search functionalities using advanced natural language and retrieval capabilities.
• Build and manage ML pipelines connecting platform, AI, and channel teams with a DevOps focus.
• Implement Retrieval-Augmented Generation (RAG) and integrate Large Language Models (LLMs) for decision support systems.
• Apply Model Context Protocols (MCPs) and integrate Knowledge Bases for dynamic AI responses.
• Collaborate across teams to embed AI-driven insights into digital member experiences.

Required Skills

• 3+ years of experience in Machine Learning or AI software engineering.
• Proven experience coding end-to-end AI/ML solutions using Python, PyTorch, or TensorFlow.
• Strong understanding of Retrieval-Augmented Generation (RAG) and Large Language Models (LLMs).
• Experience implementing or utilizing Model Context Protocols (MCPs).
• Familiarity with Knowledge Base architecture and enterprise application integration.
• Hands-on experience with DevOps practices for ML pipelines (CI/CD, containerization, monitoring).
• Experience deploying AI solutions in cloud environments (Azure or AWS).
• Familiarity with ETL Processes and integration with enterprise data systems.

Preferred Skills

• Experience with Scrum and Kanban methodologies.

Key Skills

Education

Any Graduate