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Entry-level Bangalore role with a common title raises competition, but IIT/NIT and ML specialization narrows the candidate pool.
ML production and MLOps skills transfer across industries, while healthcare experience is only an advantageous bonus.
Strict IIT/NIT and CGPA requirements plus mandatory ML project and tooling skills make shortlisting highly selective.
Develop and maintain production-grade Python and SQL services processing sensitive, high-volume healthcare data with reliability and monitoring.
Convert machine learning models, features, and LLM-based pipelines into scheduled, instrumented production services and own their performance, cost, and reliability.
Build evaluation mechanisms for offline and online testing, troubleshoot live system issues, and enhance monitoring and testing to prevent recurrence.
Bachelor's in Computer Science, Information Technology, or related field from IIT, NIT, or other premier engineering institutes with minimum 8.0 CGPA.
0–1 years of relevant experience.
Proficiency in Python and SQL with experience building deployed ML or AI systems (beyond notebook prototypes).
Work Experience Required: 0–1 years.
Strong applied expertise in productionizing ML models, MLOps, or LLM-based AI/GenAI systems with focus on evaluation and operational reliability.
Experience working with complex, messy data and understanding of challenges like data leakage, distribution shift, and production success metrics.
Exposure to cloud platforms, containerized deployment, orchestration tools, or regulated domains like healthcare is a differentiator.