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Strong Philips brand, Bangalore location, mid-level generalist AI/data role with broad full-stack and cloud requirements.
Specialized ML and data engineering skills transfer across industries, but consumer data privacy adds domain bias.
Many mandatory ML, data engineering, cloud, and full-stack skills plus explicit 3–6 years requirement.
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Build and deploy AI models focused on personalization, anomaly detection, and predictive health insights using real-time sensor and user data.
Collaborate with Business Units, Centers of Excellence, and cloud teams to integrate AI into consumer-facing applications, business processes, and platforms.
Implement software development lifecycle practices to enable continuous delivery and monitoring of AI models while ensuring compliance with consumer data protection regulations.
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.
Strong proficiency in Python, fine-tuning large language models, TensorFlow/PyTorch, SQL, cloud platforms (Azure/GCP), containerization, and Kubernetes.
Practical experience with full-stack development technologies: Next.js, Node.js, and React; familiarity with consumer data privacy standards such as GDPR and CCPA.
Experienced in building scalable AI-powered data pipelines for real-time and predictive analytics in consumer health or similar domains.
Skilled at cross-functional collaboration with technical and business teams to embed AI solutions into consumer applications and platforms.
Comfortable working in office-based settings requiring at least 3 days per week onsite presence, indicating a preference for collaborative and structured work environments.