Internship Overview Join us as an AI Developer Intern to gain hands-on experience in building and deploying computer-vision and LLM-based solutions. You’ll work alongside senior engineers to develop object detection/tracking models (LLM, YOLOv8/11), assist with face-recognition pipelines, and help maintain our GPU-powered servers. What You’ll Do Assist in data collection, annotation, and preprocessing for video datasets. Train and fine-tune YOLOv8/11 models under mentor guidance. Prototype face-recognition solutions using pre-trained LLM embeddings. Help deploy models on Linux servers; learn SSH, Docker, and GPU setup. Participate in code reviews, stand-ups, and technical brainstorming sessions. What We’re Looking For Currently pursuing a B.Tech/M. Tech in CS, EE, AI, or related field, or graduated Solid foundation in Python, with coursework or projects using PyTorch/TensorFlow. Basic understanding of computer-vision concepts (object detection, tracking, face recognition). Familiarity with the Linux command line and SSH. Eagerness to learn GPU computing and server management. Strong problem-solving skills and the ability to work in a team. What You’ll Gain Real-world experience deploying AI solutions end-to-end. Mentorship from senior AI engineers. Exposure to GPU infrastructure and MLOps practices. Opportunity to contribute to production-grade code. Letter of recommendation and potential for a full-time offer. Job Types: Full-time, Permanent Pay: ₹10,000.00 - ₹15,000.00 per month Benefits: Flexible schedule Paid sick time Paid time off Provident Fund Schedule: Day shift Fixed shift Supplemental Pay: Performance bonus Yearly bonus Ability to commute/relocate: Mumbai, Maharashtra: Reliably commute or planning to relocate before starting work (Preferred) Experience: AI: 1 year (Preferred) Willingness to travel: 100% (Preferred) Work Location: In person