About the Role
As an AI & Machine Learning Intern at TECHTRIBE, you will work on practical applications of artificial intelligence, generative AI models, data automation pipelines, and machine learning solutions.
You will collaborate with engineering mentors to evaluate emerging AI models, research tooling, and implement workflows that solve business challenges. Rather than purely passive observation, you will participate in real experimentation and documentation.
What You'll Do
- AI research and market research: Conduct systematic research on emerging models, benchmarks, and production tooling.
- Data preparation and analysis: Clean, structure, and curate datasets for model testing and exploratory analysis.
- Prompt engineering: Design, test, and refine structured prompt templates and evaluate LLM output accuracy.
- AI workflow experimentation: Prototype end-to-end automation pipelines that augment team productivity.
- Model & tool evaluation: Benchmark AI productivity tools against established performance criteria.
- AI automation research: Explore integrating APIs, vector storage, and workflow orchestration.
- Documentation: Maintain reproducible logs of experiments, prompts, and evaluation results.
- Cross-functional collaboration: Support AI-powered internal initiatives and team demonstrations.
What You'll Learn
- Production-level prompt engineering, evaluation metrics, and guardrail design.
- How modern technology organisations test and deploy generative AI into real workflows.
- How to communicate complex technical AI findings to cross-functional stakeholders.
- Portfolio-ready deliverables demonstrating hands-on experience with modern AI stacks.
Who We're Looking For
We welcome applications from motivated students, recent graduates, and early-career candidates from analytical and quantitative disciplines:
Computer Science
AI & Machine Learning
Data Science
Software Engineering
Mathematics & Statistics
Engineering
Candidates from related technical fields with strong programming curiosity and self-driven project experience are also encouraged to apply.
Preferred Skills & Qualifications
Core Skills:
Artificial Intelligence
Machine Learning fundamentals
Python / data concepts
Generative AI
Prompt engineering
Data analysis
Research
Analytical thinking
Nice to Have:
- Experience with Jupyter Notebooks, pandas, or NumPy.
- Curiosity about LangChain, LlamaIndex, or Hugging Face.
- Familiarity with REST APIs and basic web architecture.
What You Can Expect
- Weekly Mentor Syncs: 1-on-1 feedback on your weekly assignments and code reviews.
- Flexible Schedule: 15–20 hours per week structured to fit university commitments.
- Completion Credential: Verified Certificate of Completion and letter of recommendation.
Application Process
01
Submit Form
Provide background and statement.
02
Screening Review
Academic and track alignment.
03
Introductory Call
Conversational fit & offer.