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Tier-1 employer, Bengaluru metro, popular AI/data role with broad cloud, ML, and full-stack requirements.
Strong data/ML/cloud skills transferable, but consumer health and privacy experience increase industry specificity.
Many mandatory years and diverse technical requirements (ML, cloud, infra, frontend) create strict shortlisting.
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Build and deploy scalable AI models and data pipelines focused on personalization, anomaly detection, and predictive health insights within consumer health products.
Collaborate across business units, centers of excellence, and cloud teams to integrate AI into consumer applications, business processes, and platforms.
Implement Software Development Life Cycle (SDLC) practices to ensure continuous delivery, monitoring of AI models, and compliance with consumer data privacy regulations.
Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field.
Minimum 7 years overall work experience with 3 to 6 years in data engineering and AI development, preferably in consumer technology domain.
Strong proficiency in Python, fine-tuning large language models, TensorFlow/PyTorch, SQL, and cloud platforms (Azure/GCP), including containerization and Kubernetes for AI workload deployment.
Role requires office-based work with minimum 3 days per week onsite presence; familiarity with consumer data privacy standards (GDPR, CCPA).
Experience working with real-time sensor, user feedback, and behavioral data in consumer tech or health tech products.
Skillful in full-stack development using Next.js, Node.js, and React to build AI-driven user interfaces and applications.
Ability to work collaboratively across technical and business teams to operationalize AI solutions within regulated environments.