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TalentXM, powered by BlockTXM 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 training - Contribute to AI/ML model development and evaluation - Experiment with AI-powered product features and workflows - Research emerging AI/ML trends, tools, and architectures - Collaborate on applied projects and capstone assignments - Support development of scalable AI workflows and integrations Learning Outcomes - Exposure to Machine Learning, Deep Learning, Generative AI, MLOps, and Workflow Orchestration - Development of a portfolio of applied AI/ML projects - Ability to translate business problems into AI-driven solutions - Hands-on experience in AI product experimentation and orchestration Eligibility - Open to graduate, undergraduate, and management students (including IIMs) - Preferred academic backgrounds: Computer Science, Data Science, Engineering, Economics, Business Analytics, or related fields - Strong 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 completion - Structured mentorship from AI/ML experts - Hands-on live projects and capstone assignments - Access to AI/ML tools, workflows, and curated datasets - Networking opportunities with peers and industry professionals - Flexible schedule to balance academics and learning - Potential pre-placement consideration for outstanding candidates
