Senior Data & AI Engineer

Job Title

Sr. Data & AI Engineer

Job Description

In this role, youwilljoinaleading innovator in image-guided therapy solutions asaSenior AI Engineer for the AzurionEyeproposition,an integrated AI-enabled clinical platform. You willdevelopstate-of-the-artAI modelsusinglive camerafeed. Your work willstart withproving product conceptsduring theAdvance Development (AD) phase and productizingvalidated concepts intoarobust,well-formedproductsolutions.

You will be part ofthe Image Guided Therapy Systems business unit with development sites in the Netherlands, China and India. This business unit is responsible for marketing, service, development and manufacturing of solutions and products used in minimally invasive procedures. You will join the global R&D department.

Key areas of responsibility

• Design, develop, train and validate computer-vision models.

• Implement multi-class object-detection and tracking solutions using CNN-based and modern deep-learning architectures (e.g. YOLO, ResNet, EfficientDet).

• Deploy machine learning models using cutting-edge technologies such as Databricks, AWS, and Kubernetes.

• Work with AWS and Bedrock for scalable AI solutions.

• Implement and manage robust MLOps pipelines for continuous integration, delivery, and monitoring of AI solutions.

• Automate model versioning, deployment, and rollback using tools like MLflow, Airflow, and ClearML.

• Collaborate with the System Engineer and Data Analytics team to define data schemas, annotation guidelines and ground-truth labelling strategies.

• Optimizemodels for inference performance on both edge and cloud infrastructure, ensuring real-time throughput requirements are met.

• Ensure models meet explainability, clinical safety and regulatory expectations, supporting transition from AD to PDLM production.

• Integrate advanced observability solutions (e.g., DataDog, Prometheus, Splunk, Dynatrace, Elasticsearch, Grafana) for real-time monitoring of model and system health.

• Build centralized dashboards to track AI/ML metrics, resource utilization, and user impact across environments.

• Actively participate in agile ceremonies, code reviews and technical knowledge-sharing within the team.

• Authorproducttechnical documentation, model cards and reproducible training pipeline artefacts.

To succeed in this role, you should have the following skills and experience

• 15+ years of hands-on experience developing and deploying computer-vision or imaging-AI models,AI engineering, and cloud-based solution deployment.

• Bachelor's or master'sdegree in computer science, Machine Learning, Data Science, Artificial Intelligence, or a related field.

• Computer vision - strong experience with image classification, object detection and real-time visual tracking pipelines.

• Strong expertise in MLOps best practices, model lifecycle management, and production-grade AI/ML systems.

• Imaging AI - proficiency in designing and training CNN-based architectures (YOLO, ResNet, EfficientDet, Faster R-CNN, etc.) for multi-class detection tasks.

• Python - expert-level programming for ML model development, data engineering and pipeline automation.

• Practical experience training, fine-tuning and deploying deep-learning modelsusingPyTorchor TensorFlow

• Proficiency in leveraging AI-assisted development tools to accelerate design, coding, testing and documentation with high-quality outcomes.

• Thrives in an agile, entrepreneurial, start‑up-like environment with strong ownership, a learning mindset and the drive to rapidly iterate, validate and deliver customer-centric solutions.

• Audio signal processing - ability to complement camera-based vision models with audio-based event cues (nice to have).

Our leadership & ways of working

We look for leaders who are caring and courageous-clear storytellers who put users and patients first, and who move teams forward with conviction and humility. We expect leaders who create psychological safety, actively listen, and inspire others to bring their best selves to work. They demonstrate resilience in the face of ambiguity, take ownership during moments of complexity, and communicate with clarity and purpose.

Ourleader'srole‑model collaboration across functions, markets, and geographies, fostering a culture where diverse perspectives are welcomed and valued.

Most importantly, they lead with integrity-balancing speed and rigor, championing quality and compliance, and reinforcing our shared commitment to deliver meaningful innovation that improves lives.