INTERNSHIP DETAILS

AI/ML Research Internship 2026

CompanyCarbonteq
LocationLahore
Work ModeOn Site
PostedFebruary 1, 2026
Internship Information
Core Responsibilities
Assist in fine-tuning LLMs and help prepare and clean datasets for experiments. Support testing and deployment of models while gaining exposure to RAG pipelines and LLM workflows.
Internship Type
full time
Company Size
83
Visa Sponsorship
No
Language
English
Working Hours
40 hours
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About The Company
Carbonteq is a technology consultancy company, specializing in end-to-end software development. We have a dynamic team of engineers who specialize in crafting modern mobile and web applications for the great businesses of tomorrow. Our on-demand remote and project-based developers have served diverse industries. We believe innovation, commitment to quality, and effective partnerships are the key factors of success. You can expect nothing but the best product development experience working with Carbonteq.
About the Role

About the Internship

Are you a 2nd or 3rd year CS / AI / ML student curious about how LLMs work in the real world?
This internship is for students who want hands-on exposure to applied AI, beyond classroom theory.

You’ll work closely with engineers and researchers on real projects, with a strong chance of future full-time opportunities.

What You’ll Do

  • Assist in fine-tuning LLMs (LoRA, QLoRA, PEFT, instruction tuning)

  • Help prepare and clean datasets for experiments

  • Run and track ML experiments

  • Get exposure to RAG pipelines, embeddings, and LLM workflows

  • Support testing and deployment of models

  • Learn responsible AI and best practices

Who Can Apply

  • 2nd–3rd year BS students (CS, AI, ML, or related)

  • Basic understanding of machine learning

  • Comfortable with Python

  • Familiar with PyTorch / Hugging Face (academic or personal projects are fine)

  • Curious, motivated, and eager to learn

Prior industry experience is not required.

Why Carbonteq

  • Real projects, real impact

  • Mentorship from industry professionals

  • Paid internship with growth opportunities

  • Supportive, learning-focused culture

  • High potential for full-time roles after graduation

Location & Schedule

🏢 DHA Phase 5, Lahore
🕒 Monday to Friday

Key Skills
Machine LearningPythonPyTorchHugging FaceData PreparationExperiment TrackingLLMsRAG PipelinesEmbeddingsInstruction TuningResponsible AIMotivationCuriosityLearning
Categories
TechnologyData & AnalyticsSoftwareScience & Research