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AI / ML Intern

AI / ML Intern

TalentXM (Formerly BlockTXM Inc)India
1 day ago
Job description

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
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