AI/ML Engineer Image Processing (Healthcare Domain)

Overview

Remote
$50 - $60
Contract - Independent
Contract - W2
Contract - 24 Month(s)

Skills

Amazon Web Services
Artificial Intelligence
Cloud Computing
Deep Learning
GC
Good Clinical Practice
Google Cloud Platform
HIPAA
Health Care
Image Processing
Machine Learning (ML)
Machine Learning Operations (ML Ops)
Microsoft Azure
OpenCV
Pathology
PyTorch
Python
Regulatory Compliance
TensorFlow
Training
Workflow

Job Details

Job Description:
Seeking an AI/ML Engineer with strong experience in image processing and hands-on exposure to the healthcare industry. This role focuses on building, training, and deploying ML models that analyze medical images and clinical datasets.

Responsibilities:

  • Develop and deploy AI/ML models focused on image processing and pattern recognition

  • Work with healthcare datasets (X-rays, MRIs, CT scans, pathology images, etc.)

  • Build pipelines for data preprocessing, labeling, augmentation, and feature extraction

  • Collaborate with clinicians, data scientists, and engineering teams

  • Implement deep learning solutions using TensorFlow, PyTorch, OpenCV

  • Evaluate model performance, accuracy, bias, and compliance with healthcare standards

  • Support automation of ML workflows and production deployments

Required Skills:

  • 5+ years in AI/ML engineering

  • Strong experience in image processing (OpenCV, CNNs, segmentation, classification)

  • Hands-on healthcare domain experience (HIPAA, PHI, clinical workflows)

  • Proficiency in Python, TensorFlow/PyTorch

  • Experience with cloud platforms (AWS, Google Cloud Platform, Azure)

  • Strong understanding of ML pipelines and MLOps tools

Additional Notes:

  • Remote but candidate must reside near Richmond, VA preferred

  • W2 only, no OPT candidates accepted

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