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Niche production-ML role with strict IIT/NIT and CGPA filter reduces applicant density despite Bengaluru metro location.
Core ML/MLOps skills are highly transferable across industries despite healthcare domain being a bonus.
Strict IIT/NIT plus 8.0+ CGPA and mandatory production ML experience create very stringent shortlisting filters.
Develop and maintain production-grade Python and SQL services processing sensitive, high-volume healthcare data.
Own the end-to-end pipeline from model/feature/LLM prototype to production deployment with logging, monitoring, and reliability.
Evaluate model/service changes rigorously offline and online, troubleshoot live issues, and optimize cost, latency, and reliability of ML/AI systems.
Bachelor’s degree in Computer Science, IT, or related field from IIT, NIT, or other premier engineering institute.
Minimum 0–1 years of work experience.
Strong proficiency in Python and SQL demonstrated via code repositories and real-world projects involving ML or AI systems beyond notebooks.
All academic semesters cleared with aggregate CGPA of 8.0 or above.
Experience shipping at least one deployed ML or AI system covering feature engineering, model training, evaluation, or RAG/agentic pipelines.
Proficient in full software development lifecycle including testing, code reviews, and CI/CD pipelines.
Background in applied ML, MLOps/cloud deployment tooling, or LLMs with familiarity in healthcare or regulated data-sensitive domains is a plus.