Back
Selective IIT/NIT and CGPA filters reduce applicants despite an entry-level ML focus in metro areas.
Requires production ML, MLOps, and LLM experience, so industry-agnostic candidates without ML focus fit poorly.
Mandatory IIT/NIT background, high CGPA, and demonstrated deployed ML projects create very strict screening.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Develop and maintain production-grade Python and SQL code for high-volume, sensitive healthcare data systems, including models, features, and LLM pipelines.
Own and monitor application, data, and model pipelines ensuring reliability, cost-efficiency, and operational stability in production environments.
Build evaluation frameworks and triage live system issues, implementing testing and monitoring to prevent recurrence.
B.E./B.Tech degree in Computer Science, Information Technology, or related discipline from IITs, NITs, or premier engineering institutes.
0-1 years of experience in software engineering or related fields.
Proficiency in Python and SQL with practical experience in productionizing ML or AI systems.
All semesters cleared with minimum aggregate CGPA of 8.0.
Experience building and deploying ML or AI systems beyond notebooks, including data/feature pipelines or RAG/agent prototypes with awareness of trade-offs.
Depth in either applied ML and evaluation, MLOps and cloud/deployment tooling, or LLMs, RAG and agentic frameworks.
Ability to manage the full development cycle including testing, CI, and working with real-world messy data.