Kaizengaming · Athens, GreecePrepare for this interview
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We are Kaizen Gaming Kaizen Gaming, the team powering Betano, is one of the biggest GameTech companies in the world, operating in 20 markets. We always aim to leverage cutting-edge technology, providing the best experience to our millions of customers who trust us for their entertainment. We are a diverse team of more than 2.700 Kaizeners, from 40+ nationalities spreading across 3 continents. Our #oneteam is proud to be among the Best Workplaces in Europe and certified Great Place to Work across our offices. Here, there'll be no average day for you. Ready to Press Play on Potential? Let's start with the role As a GenAI Senior Data Scientist , you will be at the forefront of our AI developments, analyzing data, building Gen AI powered applications and/or agentic architectures. You will be responsible for selecting the right LLMs, performing prompt engineering and model fine-tuning to support our AI products. You will collaborate closely with cross-functional tech teams to deliver impactful, production-grade AI solutions. The ideal candidate has a deep understanding of LLMs and agentic architectures, along with proven experience building and deploying such applications in production environments. As a GenAI Senior Data Scientist you will: Translate product requirements to AI problems and identify areas where AI can drive the most business impact; Analyze data to uncover significant patterns and generate actionable insights; Architect agentic and GenAI systems; Select appropriate models for the right tasks and tune their performance; Perform exploratory data analysis (EDA and feature engineering to support the modeling process; Apply best practices on model selection, parameter tuning etc.; Run comparative experiments for model training; Analyze ML metrics to evaluate different potential solutions; Manage the full lifecycle of AI features, from data collection to model design and to implementation and optimization in production; Mentor and guide junior members, sharing knowledge and leading complex projects.
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