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Tier-1 employer, metro location, and mid-level AIML role attract high applicant density.
Specialized AIML skills are transferable across industries, though healthcare domain expertise is optional.
Explicit 7+ years requirement and many mandatory AIML frameworks increase filtering strictness.
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Lead end-to-end design and delivery of AI/ML solutions, including Generative AI and Agentic AI systems for enterprise applications.
Engage with stakeholders to plan, decompose, and manage AI/ML initiatives using Agile/Scrum practices, including architectural decision-making.
Develop, deploy, and maintain machine learning models and pipelines, ensuring scalable, production-ready code primarily in Python.
Bachelor's Degree in Computer Science, Mathematics, or related field.
7+ years of progressive IT technical experience including 2+ years in senior or lead roles.
Proven experience with AI/ML frameworks (Scikit-learn, PyTorch, TensorFlow/Keras) and GenAI/Agentic AI frameworks (LangChain, LangGraph, Pydantic AI).
Experience in Agile/Scrum project delivery and stakeholder communication.
Technically advanced individual contributor capable of independently leading AI/ML architectural decisions and delivery.
Experienced in building and deploying enterprise-scale Generative AI and Agentic AI solutions using modern frameworks and cloud platforms.
Strong ability to translate complex AI/ML concepts and designs to technical and non-technical stakeholders effectively.