AI / ML 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 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