GenAI/LLM

About the internship Selected intern's day-to-day responsibilities include: 1. Collaborate with cross-functional teams to design, develop, and deploy AI-powered solutions 2. Experiment with RAG, LLM, and GenAI technologies to improve model performance and efficiency 3. Work with Azure cloud services to deploy and manage AI models 4. Develop and refine prompt engineering techniques to enhance AI output 5. Stay up to date with the latest advancements in AI and contribute to internal knowledge sharing Who Should Apply? 1. Currently pursuing a degree in Computer Science, AI, Machine Learning, or a related field 2. Strong foundation in programming languages like Python, Java, or C++ 3. Familiarity with AI frameworks like TensorFlow, PyTorch, or Keras 4. Experience with cloud platforms like Azure, AWS, or Google Cloud 5. Excellent problem-solving skills, creativity, and collaboration 6. At least 6 months of experience who has been building the projects around Retrieval Augmented Generation and working with LLMs along with some knowledge on cloud computing platforms. What We Offer: 1. Competitive stipend per month during the internship. 2. Opportunity to work with a talented team on cutting-edge AI projects 3. Mentorship and guidance from experienced professionals 4. Collaborative and dynamic work environment 5. Flexible working hours and remote work options 6. Professional development and growth opportunities Who can apply Only those candidates can apply who: 1. are available for the work from home job/internship 2. can start the work from home job/internship between 9th Jan'25 and 13th Feb'25 3. are available for duration of 3 months 4. have relevant skills and interests * Women wanting to start/restart their career can also apply. We work with enterprises to build AI capabilities, platforms, and solutions. We also offer AI consulting and services. We are an AI talent academy leveraging the latest technologies to deliver unique platforms and solutions. We are working on launching unique AI and ML-enabled solutions to solve critical problems around security, customer behavior analytics, and improving customer engagement.