Senior Data scientist MLOPS

Our client is a leading GameTech company, operating in 17 markets across 3 continents. With a diverse team of 2,700+ professionals from 40+ nationalities, we are committed to innovation, leveraging cutting-edge technology to deliver world-class entertainment experiences. Recognized among the Best Workplaces in Europe, we foster a dynamic, collaborative, and growth-driven culture.

Responsibilities

• Develop and deploy machine learning models to power AI-driven products.
• Conduct data analysis, identify key patterns, and generate business insights.
• Perform EDA (Exploratory Data Analysis) and feature engineering.
• Optimize models through hyperparameter tuning and comparative experiments.
• Oversee the full AI lifecycle, from data collection to production deployment and optimization.
• Collaborate with cross-functional teams to integrate AI solutions into products.
• Mentor junior team members and lead AI-focused projects.

Requirements

• Strong expertise in machine learning algorithms and best practices.
• Hands-on experience delivering ML models to production.
• Solid understanding of MLOps workflows.
• Proficiency in Python and ML frameworks (TensorFlow, PyTorch, scikit-learn).
• Experience with Deep Learning techniques.
• Strong analytical, problem-solving, and teamwork skills.
• Fluency in English (written & spoken).

Nice to Have:

• Experience with Big Data tools (Spark, PySpark) and cloud platforms (Azure, Databricks).
• Background in recommendation systems or Generative AI.
• Domain experience in fraud detection, CRM, sportsbook, or similar fields.