Senior Data Scientist (GenAI)

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. 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.

Requirements

; 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. What you’ll bring: Must have : Hands on experience with GenAI and Agentic applications; Extensive hands-on experience in delivering AI driven products to production; Experience in scaling and optimisation of AI applications; Knowledge of machine learning algorithm and respective theory; Knowledge of the Python machine learning ecosystem and solid software background in OOP; Strong skills in teamwork, communication, and analytical thinking; Fluency in English, both oral and written.

Nice To Have

: Experience with Big Data tools (Spark/PySpark) and cloud environment, ideally Azure / Databricks; Previous experience in LLM fineturing; Previous experience with LLM serving; Knowledge of Deep learning.

Perks

🏃 A buddy will support you with your onboarding. 💸Competitive salary package and bonus scheme. 👩‍⚕️ Health and life insurance for you and your family.

📚 Unlimited access to Udemy continuous training for all your learning and development needs. 💰 Monthly allowance for lunch commuting expenses. 5K monitor, latest i7, tons of RAM, fast SSD.

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