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Location: Noida, India
Overview about Ripik.AI:
Ripik.ai is an Accel-backed Applied AI company building computer vision and process optimization agents for the world's largest industrial enterprises across steel, cement, aluminum, chemicals, pharma, and power. Our Vision AI platform acts as an automated pair of eyes on the shop floor — monitoring materials, equipment, and processes 24/7 with 95%+ accuracy, eliminating human error, and delivering measurable gains in throughput, yield, energy efficiency, and safety.
We work with marquee customers including Tata Steel, JSW, ArcelorMittal, Vedanta, Godrej & Boyce, Grasim, Holcim, and Jindal Steel, and are scaling globally across India, the Middle East, Europe, and North America. As we move into our next phase of growth, we are building the operating backbone that will take Ripik from a high-velocity scale-up to a category-defining global industrial AI company.
AI Engineer Interns
Those who are excited about building AI-powered applications, experimenting with emerging technologies, and turning innovative ideas into real-world solutions. If you love coding, building AI apps, and exploring the possibilities of Generative AI, LLMs, and intelligent automation, we would love to hear from you!
Key Responsibilities:
What We're Looking For:
Location: Noida,Sector-16 (Work from Office)
Immediate Joiners Preferred
Job data: Headcount Labs (headcountlabs.com), ODbL 1.0. The job description belongs to the employer. Location data © OpenStreetMap contributors and Overture Maps.
Most IT Jobs posts in noida ask for 3–6 years of experience (42% of 243 that say).
From live job posts on CoreHRx, updated 4 Nov 2026. Skill figures count posts that list their skills; salary figures only posts that show a salary.
The post does not state the pay. As an estimate, comparable posts on CoreHRx advertise ₹11L – ₹24L a year (typical for IT Jobs in India, 990 posts).
In noida (on-site).
It is a full time job.
Interview preparation · 60 questions
This page helps Indian job seekers prepare for Python interviews for backend, data engineering and data analyst roles, whether you are a fresher facing your first technical round or an experienced developer aiming for a senior position. It has 60 questions in three levels, easy, medium and hard, each with a concise sample answer and, where it helps, runnable Python 3.12 code. Topics include data structures, OOP, generators, decorators, the GIL and concurrency, type hints, testing and performance. Answer each question aloud in your own words first, then compare with the sample answer and run the code to check your understanding.
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