Artificial Intelligence Engineer

Role Overview

We are looking for a seasoned AI Engineer to support the development and industrialization of AI capabilities within the end client, a next-generation solution in Image-Guided Therapy (IGT).

The role focuses on transforming AI prototypes into clinically compliant, production-grade solutions that enhance workflow automation, clinical decision support, and imaging intelligence within interventional environments.

Key Responsibilities

AI Productization for Azurion Eye

· Lead the transition of existing AI prototypes (Python-based) into scalable, production-ready solutions integrated with Azurion platforms.

· Drive industrialization of AI models for deployment in clinical settings.

· Ensure robustness, scalability, and maintainability of AI solutions within the Azurion ecosystem.

Advanced AI/ML & Imaging

· Develop and optimize machine learning and deep learning models for medical imaging and interventional workflows.

· Improve algorithm accuracy, reliability, and real-time performance.

· Implement GPU-based inferencing for low-latency clinical use cases.

· Optimize models using NVIDIA stack (CUDA, TensorRT, etc.).

Workflow Automation & Clinical Integration

· Design intelligent automation workflows for interventional radiology/cardiology procedures.

· Integrate AI models seamlessly into clinical workflows within Azurion.

· Work closely with product and clinical teams to ensure usability and impact.

Customer Collaboration

· Participate in customer interviews and technical discussions.

· Customize and refine AI solutions based on hospital/clinical feedback.

· Support demonstrations, pilots, and deployment discussions.

Regulatory & Quality Compliance

· Ensure compliance with FDA and EU MDR regulations for AI-enabled medical devices.

· Support documentation, validation, and audit readiness for regulated environments.

· Collaborate with quality and regulatory teams to meet clinical safety standards.

Required Qualifications

· 5+ years of experience in software engineering / AI / advanced analytics.

· Minimum 3+ years of hands-on AI/ML experience.

· Strong expertise in Python and ML frameworks (PyTorch/TensorFlow).

· Proven experience in AI productization / deployment in enterprise environments.

· Experience with GPU-based computing and optimization.

· Solid understanding of test automation and validation practices.

Preferred Qualifications

· Experience in Healthcare, MedTech, or Image-Guided Therapy (IGT).

· Familiarity with Azurion platform or similar interventional systems.

· Experience with medical imaging (DICOM, PACS, real-time imaging systems).

· Knowledge of NVIDIA AI ecosystem and model optimization tools.

Prior exposure to clinical workflow automation and decision support systems.