AI/ML Data Engineer- Sales Forecasting

Your role:

• Build and deploy AI models for personalization, anomaly detection, and predictive health insights.
• Collaborate with BU, COE and cloud teams to integrate AI into consumer-facing apps, Business processes and platforms.
• Implement SDLC practices for continuous delivery and monitoring of AI models.
• Ensure data privacy and compliance with consumer data protection regulations.

You're the right fit if:

• Bachelor’s or Master’s in Computer Science, Data Engineering, or related field.
• 3–6 years of experience in data engineering and AI development, preferably in consumer tech.
• Strong proficiency in Python, fine-tuning LLMs, TensorFlow/PyTorch, and SQL; solid experience with cloud platforms (Azure/GCP), cloud-native development, and deploying AI workloads using containers and Kubernetes.
• Practical experience in modern full-stack development using Next.js, Node.js, and React for building AI-driven user interfaces and applications.
• Familiarity with consumer data privacy standards (GDPR, CCPA).

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 company’s facilities.
Field roles are most effectively done outside of the company’s 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 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.