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Niche LLM/MLOps skillset and academic employer reduce qualified applicant density.
LLM and MLOps skills transfer broadly, though higher-education preference adds moderate domain bias.
Requires niche LLM/MLOps and education-sector experience, but lacks explicit years requirement.
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Design, develop, and deploy AI-powered educational technology solutions focusing on Large Language Models (LLMs) and related AI application development.
Conduct ongoing research on state-of-the-art AI models and architectures to identify technological advantages and build proof-of-concept prototypes.
Optimize AI models using prompt engineering and RAG techniques, and integrate LLM APIs into enterprise systems with responsibility for model deployment and monitoring.
Prior experience working within higher education, digital learning environments, or academic administration.
Demonstrated experience with Large Language Models (LLMs), Prompt Engineering, Retrieval-Augmented Generation (RAG), and AI application development.
Location: Kollam, Kerala as specified for the role.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in AI research and rapid prototyping aimed at educational or enterprise AI applications, especially involving LLMs.
Skilled in integrating AI models into operational pipelines with a focus on scalability, performance, and security.
Familiarity operating in academic or educational technology domains with capability to translate AI advancements into usable learning technologies.