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Metro junior ML role with generic title but niche ML/MLOps requirements and IIT-only filter.
Skills are ML/MLOps-specific and transferable across industries, but role demands production ML experience.
Strict filters: IIT/NIT degree requirement, 8.0+ CGPA, and demonstrated production ML project required.
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Develop and maintain production-grade Python and SQL code for high-volume healthcare data applications, including machine learning and AI pipelines.
Own end-to-end lifecycle of models and data pipelines: build, evaluate, deploy, monitor, and troubleshoot production services to ensure reliability and cost-efficiency.
Collaborate on or individually handle specialized focus areas such as ML modeling, AI/GenAI engineering (e.g., RAG and agentic pipelines), or ML platform/MLOps including CI/CD and pipeline orchestration.
Bachelor's degree in Computer Science, Information Technology, or related field from IIT, NIT, or equivalent premier engineering institutes with minimum 8.0 CGPA.
0 to 1 year of professional experience or equivalent demonstrated through projects/internships.
Proficiency in Python and SQL with familiarity in data structures, algorithms, testing, and version control.
Not explicitly mentioned: Notice period or strict location requirements.
Experience or demonstrated projects involving deployed ML or AI systems beyond notebooks, including trade-off analysis and evaluation metrics.
Focused expertise in at least one area: Applied ML and evaluation; MLOps and deployment tooling; or LLMs, RAG, and agentic AI frameworks.
Comfortable working with complex, real-world data and understanding operational concerns such as latency, cost, reliability, and fairness in production AI/ML systems.