machine learning engineer

Super is a global technology group building a platform for sports, gaming, and fan-centric experiences. The organization develops technology-driven entertainment solutions, focusing on immersive and personalized user interactions for millions of customers worldwide.

• Partner with product and engineering teams to identify and execute machine learning use cases;
• Design, build, and iterate on machine learning solutions including classifiers, regressors, ranking/retrieval, and rule-based components;
• Contribute across the entire ML lifecycle from data exploration and feature engineering to training, evaluation, deployment, and monitoring;
• Implement reliable training and inference pipelines while improving reproducibility, testing, and observability;
• Communicate model behavior, trade-offs, and results to technical and non-technical stakeholders;
• Contribute to team standards regarding code quality, documentation, experimentation hygiene, and responsible ML practices.

• Bachelor's degree in Machine Learning, Data Science, Statistics, Mathematics, Computer Science, or a related field;
• 4+ Years of industry experience building and deploying ML systems;
• Solid proficiency in Python and common ML libraries such as PyTorch and XGBoost;
• Strong knowledge of SQL;
• Deep understanding of machine learning fundamentals including experience with Large Language Models (LLMs);
• Ability to write maintainable, tested code and follow engineering best practices;
• Strong problem-solving skills with the ability to break down ambiguous problems into scoped tasks;
• Nice to have: Familiarity with ML tooling such as MLflow, ZenML, or Metaflow, hands-on experience with AWS services, exposure to streaming data platforms like Kafka, contributions to open-source ML projects, Master's degree.

• Medical / Health Insurance;
• Open Annual Leave;
• Employee Assistance Programme;
• Training & Learning Development;
• Additional benefits vary by country.