Sr Machine Learning AI Engineer Remote

NAVA Software solutions is looking for a Senior Machine Learning / AI Engineer

Details:

Senior Machine Learning / AI Engineer

Location: Remote

Duration: 1 year

About the Project

The team has developed an intelligent search solution that includes mobile integration. The next phase focuses on extending member benefits and provider search capabilities to enable greater self-service while leveraging AI to support intentional prompting and member decision-making .

The selected candidate will play a key role in enhancing AI-driven features integrating advanced models and strengthening the data and deployment pipeline across multiple platforms and channels.

Summary of Duties & Responsibilities

• Design develop and implement AI/ML models and frameworks to enhance member experience and decision-making .
• Extend intelligent search functionalities with advanced natural language and retrieval capabilities .
• Build and manage ML pipelines connecting platform AI and channel teams ( DevOps focus ).
• Implement Retrieval-Augmented Generation (RAG) and work with Large Language Models (LLMs) for conversational and decision-support systems.
• Apply Model Context Protocols (MCPs) and integrate Knowledge Bases for contextual and dynamic AI responses.
• Collaborate with cross-functional teams to embed AI-driven insights into digital member experiences.
• Serve as a liaison between the enterprise AI team and application/DHP teams to ensure smooth integration.
• Support onboarding configuration and integration of new AI components and models.
• Participate in testing validation and continuous improvement of deployed AI models and systems.
• Collaborate with data engineering teams to ensure AI models are integrated with data pipelines data lakes and enterprise systems .

Required Skills & Qualifications

• Bachelors or Masters degree in Computer Science Artificial Intelligence Data Science or a related field .
• 3 years of experience in Machine Learning Artificial Intelligence or related software engineering roles.
• Proven experience designing and coding AI/ML solutions end-to-end (Python PyTorch TensorFlow etc.).
• Strong understanding of Retrieval-Augmented Generation (RAG) and Large Language Models (LLMs) .
• Experience implementing or utilizing Model Context Protocols (MCPs) .
• Understanding of Knowledge Base architecture and integration into enterprise applications.
• Hands-on experience with DevOps practices for ML pipelines and model deployment (CI/CD containerization monitoring).
• Experience deploying AI solutions in cloud environments (Azure or AWS preferred).
• Familiarity with data storage ETL processes and integration with enterprise data systems.
• Excellent communication and collaboration skills able to interface between technical and business teams.

Preferred Qualifications

• Experience in healthcare or member services domains.
• Familiarity with intelligent search systems recommendation engines or conversational AI .
• Knowledge of data governance model security and compliance best practices.
• Experience working in agile environments (Scrum Kanban).
• Exposure to MLOps practices and cloud data pipelines .