Search by job, company or skills

ripik.ai

Intern - AI Engineer

Save
new job description bg glownew job description bg glow
  • Posted 9 hours ago
  • Be among the first 10 applicants
Early Applicant

Job Description

About Us

Ripik.ai is a fast-growing industrial AI SAAS start-up founded by IIT D/ BITS alumni and with extensive experience inMcKinsey, IBM, Google and others. It is backed by marquee VC funds like Accel, Venture Highway and 25+ illustrious angels including 14 unicorn founders.

Ripik.ai builds patented full stack software for automation of decision making on the factory floor. Today, they are deployed at more than 15 of the largest and most prestigious enterprises in India including the market leaders in steel, aluminium, cement, pharma, paints, consumer goods and others.

It is one of India's very few AI product start-ups to be a partner to GCP, Azure and AWS. We are also the AI partner of choice for CII, ICC and NASSCOM.

The Role

AI Engineer Intern:

    • Collaborate with Engineering and ML teams to develop and improve AI-driven product features.
    • Assist in building, testing, and deploying AI/ML models for industrial use cases.
    • Create technical demos, documentation, and proof-of-concepts for AI solutions.
    • Work on data analysis, model optimization, and automation tasks to improve product performance.
Location: Noida, Sector-16 (Work from Office)

Type: Full-time Internship

You Are

  • B.Tech (Chemical / Mechanical/ Computer Science)
  • Final-year student or recent graduate.
  • Curious, structured, and a strong communicator.

Why Join

  • Real ownership from Day 1.
  • Mentorship from world-class leaders.
  • Global customer exposure.
  • Clear path to a full-time role.

Learn More

  • https://www.ripik.ai
  • https://www.linkedin.com/company/ripik-ai/
  • https://www.youtube.com/watchv=YRuz3XxPfcE

More Info

Job Type:
Industry:
Function:
Employment Type:

About Company

Job ID: 148354727

Similar Jobs

Gurugram, Gurugram, India

Skills:

TensorflowCloud ServicesMachine LearningPytorchPythonData ProcessingAI technologies