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Tier-1 brand and metro location increase competition, but senior specialized ML/AI skillset limits applicant pool.
Role requires deep ML/AI specialization and production AI experience, making cross-industry transfers difficult.
Mandatory 8+ years, deep ML/AI, LLM and production-readiness requirements make shortlisting highly stringent.
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Lead experimentation and rapid prototyping of AI, Generative AI, and Agentic AI solutions aimed at progressing proofs-of-concept (POCs) into production.
Develop production-ready AI solution blueprints, reusable assets, and deployment approaches that ensure scalability, maintainability, and enterprise architecture alignment.
Collaborate with business stakeholders, product, and engineering teams to translate complex business problems into operational AI systems delivering measurable value.
Bachelor's degree in Computer Science, Engineering, Data Science, Mathematics, Artificial Intelligence, or related field; Master's degree preferred.
8+ years experience delivering AI/ML solutions with ownership of enterprise-scale AI initiatives.
Hands-on experience with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), prompt engineering, embeddings, vector databases, and Agentic AI frameworks.
Proficiency in Python and SQL, experience with cloud platforms (Azure, AWS, GCP), and deep learning frameworks (PyTorch or TensorFlow).
Experienced in advancing AI POCs to production with demonstrated ability to create reusable workflows, evaluation frameworks, and architectural standards supporting enterprise adoption.
Strong collaborator across technical and non-technical stakeholders including engineering, product, and business leadership in a complex environment.
Familiar with AI development lifecycles, experimentation methodologies, cost and performance optimization, and ethical AI principles in a healthcare or similarly regulated domain.