Artificial Intelligence Intern

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 IITs and 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 (16-24 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