Senior AI Engineer – Vision Language Models (Chest X-Ray AI) at N Consulting Ltd

Senior AI Engineer – Vision Language Models (Chest X-Ray AI)

Location: Eindhoven, Netherlands 
Work Model: Hybrid – 3 days/week onsite
Contract: 6–12 months
Experience 10+ years

About the Project

The ChestIQ programme is focused on accelerating AI innovation in Chest X-Ray (CXR) diagnostics while maintaining the highest standards of safety, clinical evidence, and regulatory credibility.

This is a senior, accountable role designed for an expert who can independently lead, make architectural decisions, and deliver high-quality AI solutions in a fast-moving, regulated healthcare environment.

Role Overview

We are seeking a Senior AI Engineer (Vision Language Models / Multimodal AI) with deep expertise in medical imaging AI, particularly in Chest X-Ray (CXR) applications.

You will provide senior-level AI leadership across foundation and multimodal models, guiding architecture, evaluation strategy, and end-to-end delivery. You will work autonomously while collaborating closely with EU and India-based engineering teams.

Key Responsibilities

Lead architectural decisions for CXR-focused foundation and multimodal AI models

Design and implement vision–language alignment and radiology report generation solutions

Develop and optimize large-scale model training workflows

Build and maintain DICOM-based medical imaging data pipelines

Define and execute robust evaluation strategies using appropriate clinical and NLP metrics

Provide technical thought leadership and proactively identify and escalate risks

Collaborate across time zones with distributed development teams

Ensure AI solutions meet clinical safety and regulatory expectations

Required Experience & Skills

10+ years of experience in AI / Machine Learning / Computer Vision

Proven experience in medical imaging AI, preferably Chest X-Ray (CXR)

Hands-on experience with foundation or multimodal models (vision-language models)

Strong proficiency in:

PyTorch

MONAI

HuggingFace ecosystem

Practical experience working with DICOM data and medical imaging pipelines

Experience in AWS and cloud-based development environments

Experience with:

Vision–language alignment

Radiology report generation

Evaluation tools/metrics such as BLEU, ROUGE, CheXbert, RadGraph

Ability to work independently and take ownership

Excellent communication and stakeholder management skills

Preferred Qualifications

Experience working in regulated healthcare or medical device environments

Exposure to clinical validation processes

Prior experience in large, distributed AI programmes

PhD or strong research background in AI / Medical Imaging

Why Join?

Work on cutting-edge medical AI impacting real-world diagnostics

Collaborate with senior AI experts in a high-impact programme

Be part of a fast-moving initiative within a globally recognized health technology environment

Competitive contract rate