We are looking for an experienced and agile Data Scientist AI Engineer to join our dynamic team. You will design develop and deploy end-to-end AI systems transforming complex data and business challenges into scalable production-grade intelligence. Your work will combine the rigor of data science with the practicality of AI engineering ensuring that advanced models and generative/agentic AI capabilities deliver measurable value across domains.
Your expertise in machine learning time-series analysis and generative AI will support multidisciplinary initiatives particularly in predictive maintenance operational optimization and commercial intelligence. You will collaborate with cross-functional teams to turn ideas into impactful AI solutions applying robust engineering practices responsible AI principles and modern MLOps to ensure scalability security and compliance.
Your Role
Translate complex business challenges into AI/ML solutions that deliver measurable value.
Design train and deploy end-to-end AI systems across the lifecycle (data exploration modeling validation deployment and MLOps).
Develop predictive maintenance models using sensor and equipment data to optimize uptime and performance.
Apply machine learning to commercial use cases such as churn prediction customer segmentation and recommendation systems.
Experiment with generative and agentic AI frameworks to accelerate innovation.
Collaborate cross-functionally with product engineering and business teams to ensure alignment and impact.
Implement scalable and automated pipelines using cloud platforms (Azure ML AWS SageMaker Databricks).
You Are the Right Fit If
Masters or PhD in Computer Science Data Science or related fields.
5 years (Masters) or 3 years (PhD) hands-on experience in AI/ML development and deployment.
Strong proficiency in Python SQL and Spark; with libraries such as Scikit-learn TensorFlow and PyTorch.
Experience with MLOps tools and frameworks (MLflow CI/CD model monitoring).
Proficiency in cloud-native ML platforms (Azure ML AWS SageMaker Databricks).
Excellent communication skills for engaging both technical and business stakeholders.
Experience in predictive maintenance commercial AI or similar applied AI domains.
You currently live in The Netherlands.
Preferred Qualifications
Experience with large language models generative AI or agentic AI frameworks.
Familiarity with data governance ethical AI practices and model interpretability.
Experience leading AI projects from concept to production deployment.
Join us to create impactful AI solutions that drive smarter decisions improve operational efficiency and advance the next generation of intelligent systems.
About the Team
The Innovation & Design (I&D) Data & AI Engineering team plays a pivotal role in enabling Philips to harness the full potential of data and artificial intelligence across its global businesses. With over 150 professionals located in the Netherlands India France Germany and the U.S. we provide end-to-end AI capabilities that power innovation across clinical operations and customer domains.
We design and deliver scalable AI solutions from clinical decision support and predictive maintenance to generative and agentic AI applications ensuring they are secure compliant and responsible by design. Our work spans data engineering machine learning AI vision generative AI and computational modeling supporting both clinical and commercial use cases. Through close collaboration with Philips business units hyper-scaler partners and research institutions we accelerate the transformation of healthcare and operational excellence through data-driven intelligence and responsible AI adoption.
As part of I&D Data & AI Engineering you will join a vibrant community that values technical mastery cross-disciplinary collaboration and ethical innovation turning Philips strategic ambitions into real-world AI-powered impact.
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 companys facilities. Field roles are most effectively done outside of the companys main facilities generally at the customers or suppliers locations.
This role is an office role.
About Philips
We are a health technology company. We built our entire company around the belief that every human matters and we wont 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 here.
Discover our rich and exciting history here.
Learn more about our purpose here.
If youre 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 commitment to diversity and inclusion here.
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