Machine Learning Intern

📝 Machine Learning Intern (Unpaid)

⚠️ Applications will only be accepted through the following site:

👉 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:

👉 www.owlera.site