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Tier-1 brand and Bangalore metro raise competition; seniority plus niche AI/ML-cloud skills reduce applicant density.
Core cloud, full-stack and ML skills are transferable, but regulated pharma experience increases domain specificity.
Explicit 15+ years and many mandatory technical specializations make hiring filters strict.
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Architect and build production-grade full-stack applications and data platforms for global scientific and business users.
Own technical direction including architectural decisions and AI/ML integration in cloud-native systems on Azure.
Lead engineering standards, mentor engineers, and ensure scalable, maintainable, well-tested, and observable software delivery.
Bachelor's degree in Computer Science or equivalent industry experience.
15+ years of hands-on software development with progressive technical leadership roles.
Expert in Python with experience in backend frameworks (FastAPI, Flask, Django) and modern frontend technologies (React, TypeScript).
Experience delivering AI/ML features in production including LLM integration, prompt engineering, cloud architecture on Azure, data engineering, SQL, DevOps, containerization, and strong software architecture knowledge.
Experienced in designing and implementing scalable, secure, and cost-effective cloud-native solutions primarily on Azure platform.
Proven ability to lead technical teams, setting high engineering standards and mentoring across full-stack development and AI integration.
Strong familiarity with AI/ML production workflows including advanced retrieval-augmented generation architectures, prompt management, AI security, and DevOps maturity.