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Strong employer brand, mid-level generalist role, Bangalore location, broad AI+full-stack skillset increases candidate competition.
Core data engineering and ML skills transferable, but consumer health and privacy needs raise domain sensitivity.
Multiple mandatory technologies and explicit 3–6 years experience enforce strict shortlisting filters.
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Build scalable data pipelines and deploy AI models for personalization, anomaly detection, and predictive health insights in Philips’ smart consumer products.
Collaborate with business units, 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 while ensuring data privacy and regulatory compliance.
Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field.
3–6 years of experience in data engineering and AI development, preferably in consumer technology.
Proficiency in Python, fine-tuning large language models, TensorFlow/PyTorch, SQL; experience with cloud platforms (Azure/GCP), cloud-native development, containers, and Kubernetes.
Experience with full-stack development using Next.js, Node.js, and React; familiarity with consumer data privacy standards such as GDPR and CCPA.
Experienced in both AI model development and cloud-based deployment in a consumer technology context.
Capable of working within cross-functional teams to embed AI solutions into business processes and applications.
Able to operate within structured SDLC frameworks focusing on continuous delivery and compliance in health technology environments.