LLM Researcher

Job not on LinkedIn

🔥 18 hours ago

🇨🇿 Czechia – Remote

⏳ Contract/Temporary

🟡 Mid-level

🟠 Senior

✨ Researcher

👻 Ghost score 14%

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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Oddin.gg

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2018

💼 Consulting

📦 Logistics

📣 Marketing

Consulting • Logistics • Marketing

Oddin. gg is a leading provider in the esports betting industry, offering a comprehensive suite of products that enhance betting experiences for both B2B platform providers and B2C operators. Their services include integration of esports odds, risk management solutions, and a user-friendly back-office platform to streamline operations. With a strong commitment to engaging new generations of bettors and ensuring integrity in esports betting, Oddin. gg is positioned as a market leader in this rapidly growing sector.

📋 Description

• Utilize, optimize, and fine-tune existing language models or train new models adapted to use cases • Turn successful prototypes into reliable, maintainable, and observable production services • Develop intelligent, automated systems that enhance customer-facing applications • Contribute to dynamic, real-time commentary content for games such as FIFA and NBA, and interactive avatars • Work with LLM frameworks, retrieval-augmented generation, and multimodal models processing language and vision • Collaborate with ML engineers, product developers, and domain experts • Design systems combining reasoning, tool use, and creative content generation

🎯 Requirements

• Solid experience with LLMs in production environments, including training, fine-tuning, inference, and tool integration • Experience building RAG-based systems and working with vector or graph databases • Experience deploying, monitoring and integrating these systems into the overall solution • Strong understanding of function calling, structured output generation, and agentic reasoning workflows • Proficiency in Python and key libraries such as PyTorch, Hugging Face Transformers, and FastAPI • Experience with sports broadcasting or data-driven content generation is nice-to-have • Familiarity with multimodal LLMs and integrating textual and visual inputs is nice-to-have • Familiarity with vLLM, Triton, or DeepSpeed for efficient model serving is nice-to-have • Contributions to open-source AI tools or research publications in NLP, multimodal AI, or agent systems are nice-to-have