AI Internship

About SiGMA Group

• Founded in 2014 and headquartered in Malta, SiGMA Group is a global organisation
• operating across iGaming, emerging technologies, affiliate marketing, events, and media.

With international teams operating across multiple markets, SiGMA delivers large-scale global events, digital platforms, content products, and internal technology solutions. AI Engineer

About the Internship

We are looking for an AI Engineering Intern to join the AI Department and learn how modern AI products are designed, built, tested, and deployed in a real business environment.

This internship is designed for a student, recent graduate, or self-taught developer who is interested in artificial intelligence and wants practical experience working alongside an AI engineering team. You do not need to be an experienced AI engineer.

The goal of the internship is to give you exposure to real projects while helping you develop practical skills in areas such as Python, large language models, prompt engineering, AI agents, RAG, APIs, automation, testing, and responsible AI.

What You Will Learn

Large Language Models such as GPT, Claude, Gemini and open-source models

Prompt engineering and structured prompting

AI agents and agentic workflows

Retrieval-Augmented Generation (RAG)

Vector databases and embeddings

APIs and integrations

Python development

Model testing and evaluation

AI automation workflows

Data preparation and basic data pipelines

Git and collaborative development

AI monitoring and observability

Responsible AI and AI governance

Moving AI ideas from prototype to working products

What You Will Do

Work alongside AI engineers on active AI projects

Build small AI prototypes and proof-of-concepts

Experiment with prompts and different AI models

Help test AI responses for quality, accuracy, and consistency

Assist with simple RAG pipelines and document-based AI systems

Build small Python scripts and API integrations

Help create and test simple AI agents and workflows

Prepare datasets and documents for AI experiments

Research new AI tools, models, and frameworks

Help test internal AI products before release

Learn how AI systems are monitored after deployment