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AI Engineer Internship

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Deadline: 07/09/2026

Skills for this role

Skills we detected for this role.

  • Python
  • Git
  • Machine Learning
  • TensorFlow
  • PyTorch
  • Generative AI
  • Data Collection
  • Deep Learning

Opportunity brief

About the Company

Meraki Labs is a forward-thinking technology company at the forefront of AI innovation. We are dedicated to developing cutting-edge solutions that leverage artificial intelligence to solve complex real-world problems. Our team comprises passionate engineers, researchers, and designers committed to pushing the boundaries of what's possible with AI.

Responsibilities

  • Assist in the design, development, and deployment of AI models and applications.
  • Conduct research to stay updated with the latest advancements in AI and machine learning.
  • Collaborate with senior engineers to integrate AI solutions into existing products and services.
  • Participate in code reviews and contribute to maintaining high code quality.
  • Help in data collection, preprocessing, and analysis for various AI projects.
  • Document technical specifications and project progress.

Requirements

  • Currently pursuing a degree in Computer Science, Information Technology, Computer Engineering, AI-ML, or AI-DS from a top-tier institution (IIT, IISc, BITS, IIIT-Hyderabad/Delhi/Bangalore, ISI, top NITs, other NITs and IIITs, DTU, NSUT, Jadavpur, COEP, VJTI, PSG, Anna CEG, Thapar, Manipal, VIT).
  • Exceptional candidates from non-computing backgrounds from top-tier institutes will also be considered.
  • Demonstrable proof of work through contributions to open-source projects (GSoC, Outreachy, merged PRs), published packages, or projects with actual users.
  • Strong academic performance, indicated by JEE/GATE rank, olympiad achievements, ICPC/Codeforces ratings, Kaggle standing, or a CGPA of 9+ (department topper preferred).
  • Prior internships at research labs, product companies, or funded startups, with longer durations preferred.
  • Hands-on experience with LLM work (agents, RAG, evals, fine-tuning) is a significant advantage, though strong fundamentals are prioritized for intern-level candidates.
  • A public GitHub profile with readable repositories is mandatory for shortlisting.
  • Proficiency in at least one programming language (e.g., Python).
  • Familiarity with AI/ML frameworks (e.g., TensorFlow, PyTorch) is a plus.
  • Excellent problem-solving skills and a keen interest in AI development.
  • Ability to work effectively in a team environment.
  • Strong communication and interpersonal skills.

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