AI/ML Intern

2 days ago


Delhi, India TalentXM (Formerly BlockTXM Inc) Full time

TalentXM , powered byBlockTXM Inc. , is a next-generationAI-driven talent orchestration platform . We are redefining how talent and opportunities connect by combiningAI innovation, orchestration, and future-of-work intelligence . As part of our journey, we are building the next wave of AI-powered products and workflows that will shape how organizations and talent thrive globally.Program OverviewTheAI/ML Internship & Bootcamp Programis an6-12week completely remote and flexible learning experiencedesigned to blendstructured mentorship, applied projects, and advanced AI/ML training . This program offers students the opportunity to learn, build, and innovate at the intersection of AI, product, and business applications.Key ResponsibilitiesPreprocess 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 OutcomesExposure toMachine 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 orchestrationEligibilityOpen tograduate, undergraduate, and management students(including IIMs)Preferred academic backgrounds:Computer Science, Data Science, Engineering, Economics, Business Analytics, or related fieldsStrong interest in AI/ML, problem-solving, and product innovationInternship DetailsType : Internship / Bootcamp (Fractional Talent Role)Duration : Project-based (6–12 weeks depending on client engagement)Location : Remote / Hybrid (depending on client requirements)Stipend :Currently unpaid ; potential forclient-sponsored stipend or paid rolebased on performance.Perks and BenefitsCertificationupon successful completionStructuredmentorshipfrom AI/ML expertsHands-onlive projects and capstone assignmentsAccess to AI/ML tools, workflows, and curated datasetsNetworkingopportunities with peers and industry professionalsFlexible schedule to balance academics and learningPotential pre-placement consideration for outstanding candidates



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