Job Description

Job Titleu00A0

Sr. Data & AI Engineeru00A0

u00A0

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

How we work together
We believe that we are better together than apart. For our office-based teams, this means working in-person at least 3 days per week. Onsite roles require full-time presence in the companyu2019s facilities. Field roles are most effectively done outside of the companyu2019s main facilities, generally at the customersu2019 or suppliersu2019 locations.
About Philips
Are you ready to do the work of your life to help the lives of others Learn more about , discover and learn more about .
If youu2019re interested in this role and have many, but not all, of the experiences needed, we encourage you to apply. You may still be the right candidate for this or other opportunities at Philips. Learn more about our .

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Senior Data & AI Engineer