Design end-to-end AI solutions based on business requirements Develop and deploy machine learning models for various use cases Build predictive analytics solutions to support data-driven decision making Develop recommendation engines to enhance user/customer experience Create customer segmentation models using ML techniques Design and implement intelligent automation solutions to improve efficiency Implement Generative AI solutions across relevant business use cases Build AI assistants and chatbots for internal or customer-facing needs Design and implement Retrieval Augmented Generation (RAG) architectures Develop enterprise knowledge search solutions Build software development copilots to support engineering teams Create employee productivity assistants powered by AI Requirements 6+ years of relevant experience in AI/ML solution development Strong hands-on experience in machine learning model development and deployment Proven expertise in Generative AI implementation, including RAG-based architectures Experience building chatbots, virtual assistants, or copilots Familiarity with enterprise search and knowledge management solutions Strong problem-solving skills and ability to translate business needs into technical solutions Originally posted on Himalayas