GenAI Senior Data Scientist

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?

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.
  
  

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.

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We are an equal opportunity employer committed to fostering a diverse and inclusive workplace. We welcome applications from individuals of all backgrounds, regardless of race, gender, religion, sexual orientation,or age.