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Specialized LLM/MLOps role in Hyderabad with moderate brand and senior experience requirement.
Highly domain-specific LLM, MLOps, and cloud AI skills reduce cross-industry transferability.
Explicit 7–12 years, mandatory ML/LLM, cloud, and MLOps skills required.
Lead design and enterprise-scale delivery of AI/ML solutions including LLM/GenAI features focused on reliability, security, and compliance.
Drive technical standards, mentor junior engineers, and collaborate cross-functionally to operationalise AI safely and efficiently.
Accountable for building MLOps pipelines, secure APIs, and embedding governance and ethical AI controls within solutions.
7–12 years of experience in software, ML, or AI with proven production delivery and technical leadership.
Strong Python programming and software engineering skills with knowledge of SQL.
Experience with Docker/Kubernetes, Git-based CI/CD pipelines, and cloud AI stacks (Azure ML or GCP Vertex AI).
Deep understanding of LLM fundamentals including prompting, embeddings, RAG workflows, and AI safety guardrails.
Technical leader capable of architecting scalable, secure AI/ML systems in enterprise environments with compliance needs.
Expertise in operationalising ML models with MLOps tools like MLflow and automated workflows integrating LLMOps.
Experience integrating AI models via secure microservices and enforcing role-based access controls and audit logging.