
AI/ML Intern
2 days ago
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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