Ai/ml intern

2 weeks ago


Hyderabad, India TalentXM Full time

Talent XM, powered by Block TXM Inc., is a next-generation AI-driven talent orchestration platform. We are redefining how talent and opportunities connect by combining AI 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 Overview The AI/ML Internship & Bootcamp Program is an 6-12week completely remote and flexible learning experience designed to blend structured 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 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 integrations Learning 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 Open to graduate, 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 innovation Internship Details Type: 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 for client-sponsored stipend or paid role based on performance.Perks and Benefits 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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