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NewInternship· ai · ml
R

Revvity

AI Internship

Pay

₹5L–8L LPA

+22% vs avg

Location

Thane

On-site

Batch

2024, 2025, 2026

eligible

Closes

Posted 1h ago · 577 views this week

₹5L–8L LPA

Internship · Thane · On-site

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Description

About the role

Revvity is offering a full‑time AI Internship in Thane, India, where you will work on enterprise‑level artificial‑intelligence projects. The role focuses on applying generative AI, large language models and prompt‑engineering techniques to real business workflows, building prototypes and evaluating their impact.

Responsibilities

  • Complete onboarding, learn Revvity’s enterprise systems and current AI initiatives.
  • Identify departmental challenges and propose AI‑driven solutions.
  • Develop prototypes and proof‑of‑concepts using Python, JavaScript/Next.js and Docker.
  • Contribute to prompt‑engineering strategies for business applications.
  • Integrate AI models into existing workflow tools and ensure smooth user experiences.
  • Evaluate AI performance against business KPIs and present findings to technical and non‑technical stakeholders.

Eligibility

  • Open to candidates from any graduation batch (2024‑2026) and any discipline.
  • Strong interest in enterprise AI, generative AI and LLMs.
  • Ability to work in a fast‑paced, rapidly changing environment.
  • Excellent problem‑solving, communication and collaboration skills.

Skills

  • Python programming.
  • JavaScript (preferable) and Next.js for full‑stack development.
  • Docker containerisation basics.
  • Understanding of generative AI, large language models and prompt engineering.
  • Basic knowledge of full‑stack concepts (frontend, backend, APIs).

Benefits

  • Hands‑on experience building AI prototypes that address real business problems.
  • Mentorship from AI and domain experts within a global scientific‑solutions company.
  • Opportunity to collaborate across multiple departments and present work to senior stakeholders.

Skills

· 8 total
pythonjavascriptnext.jsdockerprompt engineeringgenerative ailarge language modelsfull stack development