Senior Data & AI Engineer

Job Titleu00A0

Sr. Data & AI Engineeru00A0

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Job Descriptionu00A0

In this role, youu00A0willu00A0joinu00A0au00A0leading innovator in image-guided therapy solutions asu00A0au00A0Senior AI Engineer for the Azurionu00A0Eyeu00A0proposition,u00A0an integrated AI-enabled clinical platform. You willu00A0developu00A0state-of-the-artu00A0AI modelsu00A0usingu00A0live camerau00A0feed. Your work willu00A0start withu00A0proving product conceptsu00A0during theu00A0Advance Development (AD) phase and productizingu00A0validated concepts intou00A0au00A0robust,u00A0well-formedu00A0productu00A0solutions.u00A0

You will be part ofu00A0the 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.u00A0

Key areas of responsibilityu00A0

• Design, develop, train and validate computer-vision models.u00A0

• Implement multi-class object-detection and tracking solutions using CNN-based and modern deep-learning architectures (e.g. YOLO, ResNet, EfficientDet).u00A0

• Deploy machine learning models using cutting-edge technologies such as Databricks, AWS, and Kubernetes.u00A0

• Work with AWS and Bedrock for scalable AI solutions.u00A0

• Implement and manage robust MLOps pipelines for continuous integration, delivery, and monitoring of AI solutions.u00A0

• Automate model versioning, deployment, and rollback using tools like MLflow, Airflow, and ClearML.u00A0

• Collaborate with the System Engineer and Data Analytics team to define data schemas, annotation guidelines and ground-truth labelling strategies.u00A0

• Optimizeu00A0models for inference performance on both edge and cloud infrastructure, ensuring real-time throughput requirements are met.u00A0

• Ensure models meet explainability, clinical safety and regulatory expectations, supporting transition from AD to PDLM production.u00A0

• Integrate advanced observability solutions (e.g., DataDog, Prometheus, Splunk, Dynatrace, Elasticsearch, Grafana) for real-time monitoring of model and system health.u00A0

• Build centralized dashboards to track AI/ML metrics, resource utilization, and user impact across environments.u00A0

• Actively participate in agile ceremonies, code reviews and technical knowledge-sharing within the team.u00A0

• Authoru00A0productu00A0technical documentation, model cards and reproducible training pipeline artefacts.u00A0

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To succeed in this role, you should have the following skills and experienceu00A0

• 15+ years of hands-on experience developing and deploying computer-vision or imaging-AI models,u00A0AI engineering, and cloud-based solution deployment.u00A0

• Bacheloru2019s or masteru2019su00A0degree in computer science, Machine Learning, Data Science, Artificial Intelligence, or a related field.u00A0

• Computer vision u2013 strong experience with image classification, object detection and real-time visual tracking pipelines.u00A0

• Strong expertise in MLOps best practices, model lifecycle management, and production-grade AI/ML systems.u00A0

• Imaging AI u2013 proficiency in designing and training CNN-based architectures (YOLO, ResNet, EfficientDet, Faster R-CNN, etc.) for multi-class detection tasks.u00A0

• Python u2013 expert-level programming for ML model development, data engineering and pipeline automation.u00A0

• Practical experience training, fine-tuning and deploying deep-learning modelsu00A0usingu00A0PyTorchu00A0or TensorFlowu00A0

• Proficiency in leveraging AI-assisted development tools to accelerate design, coding, testing and documentation with high-quality outcomes.u00A0

• Thrives in an agile, entrepreneurial, startu2011upu2013like environment with strong ownership, a learning mindset and the drive to rapidly iterate, validate and deliver customer-centric solutions.u00A0

• Audio signal processing u2013 ability to complement camera-based vision models with audio-based event cues (nice to have).u00A0

Our leadership & ways of workingu00A0

We look for leaders who are caring and courageousu2014clear 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.u00A0

Ouru00A0leaderu2019su00A0roleu2011model collaboration across functions, markets, and geographies, fostering a culture where diverse perspectives are welcomed and valued.u00A0

Most importantly, they lead with integrityu2014balancing speed and rigor, championing quality and compliance, and reinforcing our shared commitment to deliver meaningful innovation that improves lives.u00A0