Back
Tier-1 pharma brand and metro location raise applicant density despite senior, specialized ML focus.
Role demands specialized AI/ML and regulated healthcare data experience, limiting cross-industry transferability.
Explicit 12+ years, 5+ leadership, and mandatory ML, cloud, and LLMOps skills create strict shortlisting.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Own end-to-end engineering delivery and technical leadership of DecisionIQ, including user story refinement, design, development, testing, deployment, and production support.
Lead development and integration of AI/ML-powered features and ensure production-grade models are reliable, monitored, and maintainable.
Build, mentor, and manage a high-performing engineering team in India focused on delivering fast, quality AI solutions aligned with user needs and commercial goals.
Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or related field.
12+ years of experience in software engineering, data science, or related technical fields.
5+ years of experience leading technical teams with people management responsibilities.
Proficient in Python and ML frameworks (scikit-learn, TensorFlow, PyTorch); experience with cloud platforms (AWS or Azure), containerization, and CI/CD pipelines.
Experienced technical leader confident in owning full product engineering lifecycle for AI/ML-driven commercial products.
Strong collaborator able to translate complex business requirements into scalable, production-ready AI applications targeting both technical and non-technical users.
Proven ability to build and lead distributed engineering teams in India, fostering engineering excellence, automation, and DevSecOps practices.