Meraki-Labs · Bangalore, India ·
An intern role assisting Meraki Labs' engineers in designing, developing, and deploying AI models and applications, including data preprocessing, research on ML advances, and code reviews. Core work involves Python and AI/ML frameworks like TensorFlow/PyTorch, with LLM experience (agents, RAG, fine-tuning) a plus.
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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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