Building Innovative AI Solutions

1 week ago


erode, India beBeeArtificialintelligence Full time

AI/ML Internship Program OverviewTalentXM is a cutting-edge talent orchestration platform leveraging AI innovation to redefine how talent and opportunities connect. As part of our journey, we are developing AI-powered products and workflows that shape the future of organizations and talent globally.This 6-12 week internship program blends structured mentorship, applied projects, and advanced AI/ML training. Students have the opportunity to learn, build, and innovate at the intersection of AI, product, and business applications.Key Responsibilities:Preprocess and analyze datasets for model trainingContribute to AI/ML model development and evaluationExperiment with AI-powered product features and workflowsResearch emerging AI/ML trends, tools, and architecturesCollaborate on applied projects and capstone assignmentsSupport development of scalable AI workflows and integrationsLearning Outcomes:Exposure to Machine Learning, Deep Learning, Generative AI, MLOps, and Workflow OrchestrationDevelopment of a portfolio of applied AI/ML projectsAbility to translate business problems into AI-driven solutionsHands-on experience in AI product experimentation and orchestrationEligibility Criteria:Open to graduate, undergraduate, and management studentsPreferred academic backgrounds: Computer Science, Data Science, Engineering, Economics, Business Analytics, or related fieldsStrong interest in AI/ML, problem-solving, and product innovationInternship Details:Type: Internship / Bootcamp (Fractional Talent Role)Duration: Project-based (12 weeks depending on client engagement)Location: Remote / Hybrid (depending on client requirements)Weekly 15-20 HoursBenefits:Certification upon successful completionStructured mentorship from AI/ML expertsHands-on live projects and capstone assignmentsAccess to AI/ML tools, workflows, and curated datasetsNetworking opportunities with peers and industry professionalsFlexible schedule to balance academics and learningPotential pre-placement consideration for outstanding candidates



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