Artificial Intelligence Intern

TalentXM

IndiaFresher2h agovia LinkedIn

This job at a glance

Who can apply
Freshers and up to 1 year
Must know
Machine learningDeep learningLLMsNetworking
Nice to have
Business analysis
Work
On-site in India · internship
Pay
Not stated by the employer.
Skill demand
LLMs84%Machine learning64%Deep learning23%Networking3%of 99 similar fresher jobs posted in India this week
Listed
3 Nov 2026 · still open

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About the Role

TalentXM, powered by BlockTXM Inc., is building the next wave of AI-powered products and workflows. The AI/ML Internship & Bootcamp Program is a 6-12 week, completely remote and flexible learning experience.

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.

Requirements & Tech Stack

  • Strong interest in AI/ML, problem-solving, and product innovation.
  • Preferred academic backgrounds: Computer Science, Data Science, Engineering, Economics, Business Analytics, or related fields.

Qualifications

  • Open to graduate, undergraduate, and management students.

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.
  • Flexible schedule.
  • Potential pre-placement consideration.

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