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Metro Bengaluru location plus broad AI/MLOps requirements increase competition, tempered by senior 10+ years requirement.
Requires deep AI/ML architecture and MLOps expertise, so background fit sensitivity is high.
Explicit 10+ years requirement and required enterprise AI architecture and MLOps skills make shortlisting highly strict.
Define and enable scalable, secure, and governed AI reference architectures for enterprise-wide AI adoption.
Translate business and technology use cases into production-grade AI/ML architectures.
Collaborate with business leaders and technical teams to ensure AI solutions deliver measurable business value while adhering to architectural and governance standards.
Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or related field.
10+ years of experience in software, data, or enterprise architecture with hands-on AI/ML solutions experience.
Proven experience defining AI use cases and implementing them into production-grade architectures.
Experience working in large, complex enterprise environments.
Strong expertise in machine learning, deep learning, generative AI, and data architecture within enterprise settings.
Familiarity with cloud platforms (Azure, AWS, GCP) and associated AI/ML services including MLOps/LLMOps.
Experience with APIs, microservices, event-driven architectures, and knowledge of AI system security, privacy, and model monitoring.