Senior Machine Learning / AI Engineer

Overview

Accepts corp to corp applications
Contract - Independent
Contract - W2
Contract - 10 Month(s)

Skills

Python
tensorflow
PyTorch
AI/ML
LLMs
RAG
MCPs

Job Details

Job Title: Senior Machine Learning / AI Engineer

Location: Remote

Duration: / Term: 6+ months

Job Description:

Experience Desired: 5+ Years

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.


Key Skills:

AI/ML, RAG, LLMs, MCPs, Python, PyTorch, TensorFlow, DevOps practices, cloud environments

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About VDart, Inc.