üìù Machine Learning Intern (Unpaid)
⚠️ Applications will only be accepted through the following site:
üëâ www.owlera.site
About Owlera
Owlera is an AI-powered career platform that helps students and fresh graduates gain practical experience through internship simulations inspired by real companies.
Participants work on realistic business challenges, receive AI-powered feedback, use modern professional tools, and build portfolio-ready projects that demonstrate their abilities to future employers.
We're looking for curious, technically minded, and ambitious students to join our AI Engineering Internship and gain hands-on experience building practical AI applications — from prompt engineering and LLM integrations to RAG pipelines and AI agents.
About the Internship
As an AI Engineering Intern, you'll work on realistic engineering challenges involving prompt design, LLM-powered features, retrieval-augmented generation (RAG), embeddings, and AI agent workflows.
You'll learn how AI engineers take business problems and turn them into working AI products — integrating models into applications, evaluating outputs, and iterating on real use cases.
Responsibilities
Design and test prompts for real-world LLM use cases.
Build prototype features powered by large language models.
Integrate LLM APIs into simple web applications.
Build and experiment with retrieval-augmented generation (RAG) pipelines.
Work with embeddings, vector databases, and semantic search.
Create AI agents that can reason, use tools, and complete multi-step tasks.
Evaluate AI outputs for accuracy, safety, and usefulness.
Debug and iterate on AI-powered features based on feedback.
Build conversational AI experiences such as chatbots and assistants.
Fine-tune simple models or use few-shot learning for specific tasks.
Process and prepare data for AI workflows (chunking, cleaning, formatting).
Connect AI features to databases and external APIs.
Write clean, readable code for AI experiments and prototypes.
Document AI experiments, prompts, and evaluation results.
Use modern developer tools (Git, notebooks, cloud platforms).
Learn the fundamentals of ML and deep learning concepts.
Collaborate with other interns on cross-functional AI projects.
Turn ambiguous product ideas into structured AI prototypes.
Requirements
Current student or recent graduate in Computer Science, AI, Data Science, Software Engineering, or a related field — or a strong self-taught coding portfolio.
Strong interest in artificial intelligence, LLMs, and machine learning.
Basic programming skills (Python is a plus; willingness to learn fast is essential).
Curiosity about how AI systems work under the hood.
Analytical and logical thinking with close attention to detail.
Self-motivated and able to work independently on technical challenges.
Comfortable experimenting, failing fast, and iterating.
Familiarity with AI tools such as ChatGPT, Claude, Gemini, or similar platforms is a plus.
Previous professional AI engineering experience is not required.
What You'll Gain
Hands-on experience building real AI applications, not just theory.
Practical experience with prompt engineering and LLM integrations.
Experience building RAG pipelines and semantic search.
Experience working with AI agents and multi-step AI workflows.
Understanding of how AI features are evaluated and improved.
Practical exposure to Python, APIs, and developer workflows.
Portfolio-ready AI projects built on realistic use cases.
Personalized AI feedback on your work.
Professional certificate upon successful completion.
Mentorship and weekly learning sessions.
Opportunity to strengthen your portfolio, resume, and interview readiness.
Internship Details
Role: Machine Learning Intern
Location: Remote
Type: Internship (Unpaid)
Level: Entry Level
Duration: 6 Weeks
Commitment: Flexible (approximately 10–15 hours per week)
If you're passionate about AI and want to learn how real AI products are built, we'd love to hear from you.
⚠️ Apply through:
üëâ www.owlera.site
