AI Engineer Intern

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.