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Tier-1 employer, metro Hyderabad, popular senior ML title, and broad GenAI/MLOps requirements increase competition.
Requires specialized ML/GenAI, MLOps, and regulated/GxP experience, limiting cross-industry transferability.
Explicit 8–13 years plus mandatory production ML/GenAI and MLOps experience creates strict shortlisting filters.
End-to-end ownership of AI assets or substantial technical workstreams from problem framing through launch, stabilization, and measurable outcome.
Lead hands-on development including software, ML, deep learning, NLP, GenAI, RAG, agents, APIs, MLOps/LLMOps and system evaluation.
Own production architecture including data pipelines, models, APIs, security, compliance, and coordinate cross-functional controls like Responsible AI and GxP.
Bachelor's or Master's degree in Computer Science, IT or related field.
8 to 13 years of relevant experience in AI/ML system design, software development, and production deployment.
Demonstrated end-to-end ownership of at least one production ML, GenAI, software, data or automation system delivering measurable outcomes.
Strong proficiency in Python and SQL with production software and services design experience.
Expertise in at least one of the pillars: Applied ML, GenAI/RAG/agents, or ML platform/MLOps with credible depth across production lifecycle.
Experienced in production architecture and full AI product lifecycle including security, governance, monitoring, and regulated delivery.
Capable of technical leadership and cross-functional collaboration linking technical decisions to business value and compliance.