AI Intern

Job not on LinkedIn

🔥 12 hours ago

🇲🇹 Malta – Remote

👨‍🎓 Internship

⚪️ Entry-level

🤖 Artificial Intelligence

🚫👨‍🎓 No degree required

👻 Ghost score 13%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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SiGMA World

WebsiteLinkedInAll Job Openings

51 - 200 employees

🛍️ eCommerce

🎮 Gaming

eCommerce • Gaming

SiGMA World is a leading authority in the iGaming sector, specializing in events related to casino, digital games, esports, and remote gaming. Hosting a series of global events in locations like Budapest and Malta, SiGMA facilitates networking and business opportunities within the gaming industry. The company plays a critical role in connecting professionals in the gaming, payment, and public relations sectors, driving innovation and collaboration in the digital gaming landscape.

📋 Description

• Work alongside AI engineers on active AI projects • Build small AI prototypes and proof-of-concepts • Experiment with prompts and different AI models • 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 • Create and test simple AI agents and workflows • Prepare datasets and documents for AI experiments • Research new AI tools, models, and frameworks • Test internal AI products before release • Learn how AI systems are monitored after deployment

🎯 Requirements

• Student, recent graduate, or self-taught developer interested in artificial intelligence • Interest in gaining practical experience alongside an AI engineering team • Experience or interest in Python, large language models, prompt engineering, AI agents, RAG, APIs, automation, testing, and responsible AI • Familiarity with or willingness to learn vector databases, embeddings, data preparation, basic data pipelines, Git, AI monitoring, observability, and AI governance • No prior professional AI engineering experience required