NAVA Software solutions is looking for a Senior Machine Learning / AI EngineerDetails:Senior Machine Learning / AI EngineerLocation: Remote Duration: 1+ yearAbout the ProjectThe 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 - Bachelor's or Master's 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.