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Strong Tier-1 brand and metro location increase competition, but senior specialized AI leadership reduces applicant density.
Requires deep AI/ML product experience and regulated healthcare data expertise, limiting cross-industry transferability.
Explicit 12+ years, 5+ people-management, and mandatory ML/LLMOps/cloud stack indicate strict filters.
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Own end-to-end engineering delivery of DecisionIQ, a production-grade AI solution from user requirements through deployment, ensuring features deliver measurable user value.
Lead a high-performing engineering team in India (Mumbai/Chennai) to develop AI/ML-powered features, maintain CI/CD pipelines, establish quality standards, and embed DevSecOps practices.
Collaborate with commercial stakeholders and data scientists to align product vision, translate user needs into technical solutions, and integrate AI models into user-friendly applications.
Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or related field.
12+ years experience in software engineering, data science, or related technical fields.
5+ years experience leading technical teams with people management responsibilities.
Proficiency in Python and ML frameworks (scikit-learn, TensorFlow, PyTorch), expertise with cloud platforms (AWS or Azure), containerization (Docker/Kubernetes), and CI/CD tools.
Experienced in delivering AI/ML-powered user-facing data science applications tailored for both technical and non-technical audiences.
Demonstrated ability to lead product-focused engineering teams that ship production-grade features with strong engineering discipline and DevSecOps practices.
Skilled collaborator working across global teams and stakeholders in complex regulated environments dealing with sensitive data such as anonymized patient EMR/Claims data.