Sr. Data & AI engineer Azurion Eye at Philips · Best

Sr. Data & AI engineer Azurion Eye Location: Best Job Title Sr. Data & AI engineer Azurion Eye Job Description Sr. Data & AI Engineer AzurionEye You will develop core components of an AI-enabled clinical software platform for Azurion. The platform functions as a clinical co‑pilot, delivering real-time insights, automation, and decision support during minimally invasive procedures. The role combines hands-on AI engineering with backend and platform integration in a regulated medical environment. Your role: Own and design AI platform subsystems (AI Operator and/or AI Orchestrator) Drive technical decisions for scalability and robustness Mentor engineers and support technical best practices Contribute to platform architecture and AI roadmap decision Develop real-time AI inference and GPU-accelerated model execution Integrate and optimize AI models using Python, TensorFlow, PyTorch, TensorRT, and CUDA Build workflow orchestration and data management services in Golang Deploy AI components on Linux-based, containerized platforms Ensure platform performance, reliability, and regulatory compliance You will work within a multidisciplinary team of AI scientists, software architects, system engineers, and clinical experts. Together, you will translate research-grade AI into scalable, compliant software integrated into Philips’ interventional imaging systems. Your work contributes to the evolution of the Azurion AI platform and broader ecosystem. You're the right fit if: Minimum 5 years of relevant experience with a Bachelor’s degree, or a Master’s degree in Computer Science, AI, Data Science, Mathematics, Statistics, or related field Leadership skills; experience providing technical guidance and mentoring junior engineers Experience deploying deep learning models to production environments Strong Python skills; experience with Golang is a plus Hands-on experience with GPU acceleration and CUDA Solid Linux background and experience with container technologies (Docker, Kubernetes or similar) Understanding of AI inference pipelines and real-time or distributed systems Ownership-driven, quality-focused, and comfortable working in a regulated medical domain 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. About Philips We are a health technology company. We built our entire company around the belief that every human matters, and we won't stop until everybody everywhere has access to the quality healthcare that we all deserve. Do the work of your life to help the lives of others. • Learn more about our business. • Discover our rich and exciting history. • Learn more about our purpose. If you’re 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 culture of impact with care here. #ImageGuidedTherapy