Location
Gurugram, Haryana
Work Mode
Hybrid
Duration
2 months
Stipend
₹35,000/mo
Start Date
Immediate / Rolling
Openings
6 positions
Type
Full-time
Category
Generative AI
About the Internship
Join CynLr in Gurugram as a Generative AI Intern (Financial Services). This entry-level internship is designed for students and recent graduates who learn best by building, shipping and getting real feedback on generative AI in banking and finance work.
About the role
As a Generative AI Intern…
About CynLr
CynLr offers a mentor-led Generative AI Intern (Financial Services) in Gurugram with live project work in generative ai, a stipend of ₹35,000/month and a Pre-Placement Offer opportunity for strong performers.
See all CynLrinternships →Gurugram, HaryanaVerified employer6 openings
Apply to CynLr →Skills Required
Large Language Models (LLMs)RAG over Financial DocumentsPythonGrounding & CitationFinancial Domain BasicsRegulatory AwarenessHallucination ControlsModel ExplainabilityAudit LoggingBusiness Communication
Who Can Apply
- Final-year students and recent graduates from B.E./B.Tech, MCA, M.Sc (Statistics / Data Science) or MBA (Finance) who are based in or willing to work from Gurugram. You should be keen to learn Large Language Models (LLMs), RAG over Financial Documents, Python on real projects and able to write clearly. Freshers are welcome — no prior work experience is required, and a strong project portfolio matters more than a long CV.
Perks
Mentorship from a named mentorLive project experienceExposure to professional tools and workflowsPre-Placement Offer (PPO) opportunityFlexible working hours
Interview & Selection Process
4 rounds — typical selection flow for this role:
- 1Application screening & resume shortlisting by the talent team
- 2Practical assignment or case study with a short walkthrough
- 3Discussion with the hiring manager on the role and your fit
- 4HR discussion — stipend, start date, expectations and offer
₹35,000/month
Stipend · 2 months
Openings6 positions
Applicants0 applied
ModeHybrid
CategoryGenerative AI
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