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.