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

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 .