AI Solution (Intern)

Join Our WhatsApp Channel Latest Off Campus Drives Across India: May 2025 Company Location Position Apply Link Today Walkins Across India Multiple Positions Check Here Top MNCs Across India Internships Apply Here HCL Across India Graduate Engineer Trainee (BTech-2025 Batch) Apply Here Cognizant Across India Programmer Analyst Trainee (BE/BTech/ME/MTech-2025 Batch) Apply Here Cognizant Across India Analyst Trainee (BCA/BSC-2025 Batch) Apply Here Cognizant Across India Analyst Trainee (BCA/BSC-2023/2024 Batch) Apply Here Wipro Across India Trainee (BCA/BSC-2024/2025 Batch) Apply Here Amazon Across India Multiple Positions Apply Here Accenture Across India Multiple Positions Apply Here Wipro Across India Multiple Positions Apply Here Cognizant Across India Multiple Positions Apply Here Infosys Across India Multiple Positions Apply Here Genpact Across India Multiple Positions Apply Here Cisco Freshers Recruitment in Mumbai and Delhi For AI Solution (Intern) Position. Bachelors and Master's Degree Candidates of 2026 Batch are eligible to apply for this job. More details regarding Cisco Mumbai and Delhi Freshers Job Openings is given below. Company Name: Cisco Job Location: Mumbai, Delhi Job Category: IT | Software Job Position: AI Solution (Intern) Experience: Freshers Qualification: Bachelors/Master's Degree Year of Passing: 2026 Passouts Job Description: Cisco is hiring for AI Solution (Intern) – Mumbai, Delhi. Job Summary: We are a dynamic team at the forefront of AI solutions, specializing in building cutting-edge technology for large-scale training and inference clusters using Cisco infrastructure components. Our focus includes developing advanced AI applications, creating and fine-tuning domain-specific LLMs, or building entirely new LLMs from scratch, as well as providing LLMs as a service and developing sophisticated RAG solutions. Additionally, we innovate with Agentic AI to optimize and manage network operations. We work with the top 20+ largest service providers in the APJ region, building next-generation AI solutions that serve over 50% of humanity through these providers. Our team is dedicated to revolutionizing the AI landscape, leveraging the latest advancements to drive significant, real-world impact. As an intern, you will be immersed in high-impact projects, collaborate with leading experts in the field, and directly contribute to AI solutions that are shaping the future of global connectivity and technological progress. With us, you will gain unparalleled exposure to industry-leading technologies and a front-row seat to the future of AI-powered infrastructure. Your Impact: As an intern, you will be an integral part of the team, helping to build and optimize AI solutions for real-world applications. You will work directly with our engineers and researchers to develop the infrastructure for training and inference clusters, implement RAG solutions for customer needs, and drive network optimization using Agentic AI. This is an exciting opportunity to work on impactful AI projects and gain hands-on experience with state-of-the-art technology. Job Responsibilities: Collaborate with engineers to understand customer requirements and design tailored AI solutions. Build and maintain infrastructure for training and inference clusters, working with large-scale models like LLMs. Develop RAG-based solutions to enhance customer experiences and AI application performance. Work on Agentic AI use cases, optimizing network operations and automation. Contribute to research and development for scaling AI infrastructure and improving performance. Minimum Qualifications: Pursuing a Bachelors or Master's Degree in AI/ML, Computer Science, or a related field (2026 graduates only). At least one project experience in training or inference, preferably with large models or distributed systems. In-depth knowledge of machine learning algorithms, models, and optimization techniques. Familiarity with Kubernetes (K8S) for container orchestration in cloud and on-prem environments. Basic understanding of networking concepts (CCNA-level knowledge), including network topologies and protocols. Preferred Qualifications: Experience with large-scale AI infrastructure or cloud-based platforms like AWS, GCP, or Azure. Knowledge of network automation and optimization using AI-driven tools or frameworks. Familiarity with advanced AI techniques such as RAG, neural networks, and natural language processing. Strong problem-solving skills and the ability to think critically in dynamic environments. Excellent communication skills and the ability to collaborate effectively in a team setting.