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Niche senior ML/AI role with document AI and MLOps in Mumbai—moderate applicant competition.
Deep ML/LLM and document-intelligence expertise required, moderately transferable across industries with similar AI needs.
Multiple mandatory ML/LLM, MLOps, document AI, and platform leadership requirements imply high filter strictness.
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Drive enterprise AI architecture, standards, and governance focusing on document indexing, search, and intelligent retrieval.
Lead large-scale AI platform design and implementation, including OCR, NLP, embeddings, vector search, and MLOps pipelines.
Provide technical leadership across teams to ensure responsible AI, security compliance, and alignment of AI initiatives with business goals.
Experience designing and leading large-scale AI platforms with expertise in NLP, information retrieval, and document processing.
Strong skills with OCR, document parsing frameworks, and search technologies such as Azure AI Search or OpenSearch.
Proven experience with MLOps tools and practices including MLflow, Azure ML, Kubeflow, and CI/CD pipelines for ML.
Location: Mumbai, India. Work Experience Required: Not explicitly mentioned in the JD.
Experienced in defining and enforcing AI solution architectures and MLOps best practices at enterprise scale.
Track record leading cross-functional AI development teams and driving adoption of AI standards and governance.
Familiarity with operational aspects such as AI operating models, FinOps for AI, and contributions to AI frameworks or open-source projects.