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Niche ML/MLOps role with premier-institute filter reduces qualified applicant density.
Strong ML/MLOps and LLM production focus, limiting cross-industry transferability.
Strict IIT/NIT and high CGPA requirement plus mandatory ML production experience.
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Develop, deploy, and maintain production-grade Python and SQL services handling high-volume healthcare data, with responsibility for their reliability, cost, and latency.
Translate machine learning models, features, and LLM pipelines into scheduled, monitored, instrumented production systems, owning them post-deployment.
Build and maintain data/model/application pipelines including evaluation metrics and monitoring to ensure system trustworthiness and prevent recurring issues.
Degree: B.E./B.Tech in Computer Science, IT, or related field from IITs, NITs, or premier institutes only.
Educational Performance: All semesters cleared with a minimum aggregate CGPA of 8.0.
Work Experience Required: 0–1 years of relevant experience.
Mandatory skills: Proficiency in Python, SQL, and experience with production-level ML/AI system deployments beyond notebooks.
Experience or strong understanding in one focus area: Applied ML and evaluation; MLOps and cloud/deployment tooling; or LLMs, RAG, and agentic frameworks.
Demonstrated ability to handle end-to-end ML pipeline delivery with version control, testing, and CI.
Familiarity with healthcare or regulated, data-sensitive domains, and ideally exposure to cloud platforms and containerized deployment.