SPRIBE is an innovative B2B iGaming software developer reshaping the industry with cutting-edge technology and a forward-thinking approach to game design. The company pioneered the crash-game format with its flagship title Aviator, setting a new standard in player engagement and paving the way for a wave of non-traditional content. With over 62+ million monthly active players, SPRIBE is now the most influential company in the market. Alongside Aviator, SPRIBE builds forward-thinking solutions like the Broadway Platform, enabling operators to launch and scale with exceptional speed and efficiency
Strategic global partnerships with iconic brands such as UFC, WWE, and AC Milan, along with a roster of 12 global brand ambassadors, reflect the company’s bold vision for international growth and its commitment to expanding its presence across worldwide markets.
We’re hiring an AI Engineer (Chat Moderation) to help us build the future of iGaming.
Requirements
Required Qualifications & Skills — ML/NLP Experience: 2+ years of hands-on experience in NLP. — Embeddings: Practical experience with Embedding Models and RAG. — Transformer Proficiency: Comfort with the HuggingFace ecosystem—loading, fine-tuning, and evaluating transformer models. — Hybrid AI Understanding: Experience or strong conceptual understanding of combining deterministic ML with Generative AI (LLMs) in a single pipeline. — Coding Standards: Strong Python skills with an ability to write clean, maintainable, and typed code. — Data-Centric Approach: Experience dealing with real-world, messy data—cleaning, labeling strategies, and handling class imbalance
Responsibilities
— Hybrid System Evolution: Participate in the design of hybrid flows that combine classical models and LLMs. Help lay the groundwork for dynamic routing capabilities between model types. — Model Training & Fine-Tuning: Train and fine-tune ML and LLM models for specific content moderation tasks. — LLM Integration: Implement workflows to handle "corner cases"—complex messages that require reasoning capabilities beyond standard classifiers. — Data Strategy: Manage the data lifecycle, including data augmentation, labeling strategies, dataset balancing, and integrating feedback into training sets. — Performance Optimization: Ensure the moderation pipeline supports both real-time (low latency) and batch processing requirements.
Why join SPRIBE Generous paid time off • Enjoy 26 business days of paid vacation annually, plus 7 days off— because we value your well-being and work-life balance. Top-tier equipment • We provide and deliver all necessary corporate hardware so you can start strong from day one. Health & wellness support Our benefits catalog lets you choose what matters most: • Medical insurance Celebrating your moments • We recognize and celebrate your birthdays and work anniversaries with thoughtful gifts — because your milestones matter. Global team events • Twice a year we host unforgettable corporate events in some of the world’s most exciting cities — a unique blend of team spirit and adventure.
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Job ID:
165282
Требуемые навыки:
Cloud, Python
Зарплата:
Регион:
Київ, Тбілісі (Грузія), Варшава (Польща), віддалено
