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Rapid7 logo — Rapid7 ML Platform Engineer Intern in Tiruchirappalli, Tamil Nadu
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ML Platform Engineer Intern

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Location

Tiruchirappalli, Tamil Nadu

Work Mode

Hybrid

Duration

2 months

Stipend

₹28,000/mo

Start Date

Immediate / Rolling

Openings

9 positions

Type

Full-time

Category

Machine Learning

Apply Now — ₹28,000/moApply on Company Website ↗

About the Internship

Join Rapid7 in Tiruchirappalli as a ML Platform Engineer Intern. This entry-level internship is designed for students and recent graduates who learn best by building, shipping and getting real feedback on internal machine learning platforms work. About the role As a ML Platform Engineer Intern at…

About Rapid7

Rapid7 offers a mentor-led ML Platform Engineer Intern in Tiruchirappalli with live project work in machine learning, a stipend of ₹28,000/month and a Pre-Placement Offer opportunity for strong performers.
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Tiruchirappalli, Tamil NaduVerified employer9 openings
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Skills Required

PythonDocker & KubernetesCI/CDCloud (AWS / Azure / GCP)Experiment TrackingPipeline OrchestrationAPI DesignMonitoringInfrastructure as CodeDeveloper Experience

Who Can Apply

  • Final-year students and recent graduates from B.E./B.Tech (CSE/IT), MCA or M.Sc (Computer Science) who are based in or willing to work from Tiruchirappalli. You should be keen to learn Python, Docker & Kubernetes, CI/CD 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

Flexible working hoursNetworking with senior professionalsInternship CertificateLetter of RecommendationMentorship from a named mentor

Interview & Selection Process

4 rounds — typical selection flow for this role:

  1. 1Application screening & resume shortlisting by the talent team
  2. 2Online aptitude / domain assessment
  3. 3Technical interview on fundamentals and your projects
  4. 4HR discussion — stipend, start date, expectations and offer
28,000/month

Stipend · 2 months

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Openings9 positions
Applicants0 applied
ModeHybrid
CategoryMachine Learning
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