AI Developer - Fully Remote (U.S. Based)

Medical Review Institute of America

• $110K — $130K *
US-Anywhere
+ 2 other locationsRemote
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 3+ years of experience developing AI models
  • 3+ years of experience developing ML models
  • 3+ years of experience deploying AI models in production
  • 3+ years of experience deploying ML models in production
  • Familiarity with AI/ML libraries like TensorFlow, PyTorch, and scikit-learn
  • Experience deploying models on cloud platforms (AWS, Azure, GCP)
  • Experience in AI/ML domains such as NLP or computer vision
  • Healthcare experience is a plus
  • Proficiency in Python and Node.js is advantageous

Responsibilities

  • Collaborate with teams to define AI use cases and delivery timelines
  • Partner with vendors to develop efficient and compliant AI systems
  • Lead rapid prototyping to showcase AI/ML application value
  • Stay updated on AI/ML trends and contribute to long-term strategy
  • Research and implement machine learning models, including deep learning
  • Conduct data preparation and feature engineering for AI workflows
  • Train and fine-tune models for optimal performance
  • Integrate AI capabilities into existing products with the development team
  • Design testing frameworks for model validation
  • Monitor and improve deployed models for business relevance
  • Ensure AI systems comply with regulatory standards

Benefits

  • Remote work flexibility
  • Opportunity to work with cutting-edge AI technologies
  • Collaboration with cross-functional teams
  • Support for professional development and continuous learning
  • Engagement in innovative projects that impact business outcomes
Full Job Description
Description

POSITION OVERVIEW

MRIoA is seeking a skilled and forward-thinking AI Developer to lead the design, development, and deployment of applications (including AI/ML solutions), using coding assistants, across the enterprise. This role requires a strong understanding of AI, machine learning, data preparation, and model training/fine-tuning. The ideal candidate will work closely with cross-functional teams and external partners to identify opportunities for AI/ML adoption and deliver innovative, scalable solutions that align with our business goals and compliance standards.

Major Responsibilities or Assigned Duties:

AI/ML Solution Development

  • Collaborate with business, operations, and technology teams to define solution for AI use cases and align solution delivery timelines.
  • Partner with internal teams and third-party vendors to develop AI systems that are efficient, compliant, and scalable.
  • Lead rapid prototyping efforts to demonstrate the value of AI/ML applications and inform broader adoption.
  • Stay current with emerging AI/ML trends and technologies; contribute to the organization's long-term AI strategy.


Model Development & Engineering

  • Research, design, and implement machine learning models (supervised, unsupervised, reinforcement learning), including deep learning and NLP.
  • Conduct data preparation, cleansing, and feature engineering to support AI/ML workflows.
  • Train, validate, and fine-tune models to optimize performance, accuracy, and efficiency.
  • Build reusable, production-ready pipelines for AI model deployment using MLOps best practices.


Integration, Testing, and Maintenance

  • Collaborate with application development team to integrate AI/ML capabilities into existing products and platforms.
  • Design and implement robust testing and evaluation frameworks for model validation.
  • Monitor, maintain, and continuously improve deployed models to ensure business relevance and performance.
  • Ensure all AI systems are secure and compliant with regulatory standards (e.g., HITRUST, SOC 2, HIPAA).


Cross-functional Collaboration & Enablement

  • Support transition of business processes to AI-driven solutions by partnering with operations, business, training, communications, and customer success teams.
  • Provide clear documentation, materials, and support to promote user adoption of AI tools.
  • Conduct retrospectives to capture lessons learned and incorporate continuous improvements.


Requirements

Skills and Experience:

  • 3+ years of experience developing Artificial Intelligence (AI) models
  • 3+ years of experience developing Machine Learning (ML) models
  • 3+ years of experience deploying AI models in production environments
  • 3+ years of experience deploying ML models in production environments
  • Experience with AI/ML libraries such as TensorFlow, PyTorch, and scikit-learn
  • Experience deploying AI/ML models on cloud platforms (AWS, Azure, or GCP)
  • Experience in one or more AI/ML domains such as NLP, computer vision, or time series forecasting
  • Experience working in healthcare (Advantage)
  • Proficiency in Python (Advantage)
  • Proficiency in Node.js (Advantage)


Education:

  • Bachelor's degree in Computer Science, or a related field
  • Master's degree in Computer Science, or a related field (Advantage)


Work Environment:

Ability to sit at a desk, utilize a computer, telephone, and other basic office equipment is required. This role is designed to be a remote position (work-from-home).

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