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Jobs / Betano (Kaizen Gaming) / Senior Data Scientist (GenAI)
Posted 2026-05-28

Senior Data Scientist (GenAI)

Description

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.

Responsibilities
  • 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
Requirements
  • 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
  • Experience with Big Data tools (Spark/PySpark) and cloud environment, ideally Azure / Databricks
  • Previous experience in LLM finetuning
  • Previous experience with LLM serving
  • Knowledge of Deep learning
Benefits
  • A buddy will support you with your onboarding
  • Competitive pay & bonus scheme
  • Developmental 360° feedback framework
  • Hybrid way of working & remote options
  • Monthly meal allowance
  • Nice Rigs- 2.5K monitor,latest i7,tons of Ram,fast SSD
  • Private health insurance for you & your family
  • Unlimited access to Udemy & continuous training