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Metro Bangalore role for a popular AI internship with broad skill requirements, driving moderate competition.
ML prototyping skills are transferable across industries but require specific ML background and academic enrollment.
Explicit student enrollment and <1 year experience requirement create moderately strict shortlisting filters.
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Build and test Proofs of Concept (PoCs) for enterprise AI use cases like incident management and service desk automation.
Create and refine agentic workflows including task chaining, reasoning steps, and automation triggers.
Evaluate, improve, and document AI prototype outputs and transition them to engineering teams, including analyzing system logs and patterns to enhance prediction models.
Currently pursuing B.Tech in Computer Science, Information Systems, or AI/ML.
Generally less than 1 year of relevant work experience.
Internship or temporary work arrangement, typically alternating or during non-school periods.
Work Experience Required: Less than 1 year as explicitly mentioned; no additional strict onsite or domain experience filters specified.
Strong technical interest and foundational knowledge in AI/ML and software development as indicated by academic pursuit.
Capability to work under supervision while contributing to technical tasks like coding, testing, data analysis, and documentation.
Comfort with iterative prototyping, workflow design, and analysing system performance data for AI applications.