AI/ML Data Engineer- Sales Forecasting
Your role:
As a Data & AI Engineer in the Personal Health division, you will build scalable data pipelines and deploy AI models that power Philips’ smart consumer products. You will work with real-time sensor data, user feedback, and behavioral patterns to deliver personalized and secure health experiences.
- 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.
- Overall 7+ years of experience with 3–6 years of relevant domain 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.
Skills Required
- Bachelor's or Master's in Computer Science, Data Engineering, or related field
- 3-6 years of experience in data engineering and AI development
- Experience in consumer tech (preferred)
- Strong proficiency in Python
- Experience fine-tuning large language models (LLMs)
- Experience with TensorFlow or PyTorch
- Proficiency with SQL
- Solid experience with cloud platforms (Azure or GCP)
- Cloud-native development and deploying AI workloads using containers and Kubernetes
- Practical experience with Next.js, Node.js, and React for AI-driven UIs
- Familiarity with consumer data privacy standards (GDPR, CCPA)
- Experience implementing SDLC practices for continuous delivery and model monitoring
Philips Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Philips and has not been reviewed or approved by Philips.
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Retirement Support — Retirement support is positioned as a standout, including a strong 401(k) match (often described at 7%) alongside pensions in some contexts.
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Flexible Benefits — Flexible benefits are emphasized through choice in health insurance options and a broad “Total Rewards” approach that combines compensation, health and wellness, and work-life support.
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Leave & Time Off Breadth — Leave and time off breadth appears strong, with generous paid time off and policies covering parental leave, caregiving responsibilities, volunteering, and family medical leave.
Philips Insights
What We Do
Do the work of your life to help the lives of others. As a leading health technology company, it is our purpose to improve people’s health and well-being through meaningful innovation. Our goal is to improve 2.5 billion lives per year by 2030. We also strive to be the best place to work for people who share our passion, by promoting personal development, inclusion and diversity while acting responsibly towards our planet and society.
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