About Super
Super is a global technology group building technology for sports, gaming, entertainment, and fan-centric experiences. Its platform supports immersive, responsible, and personalised experiences for millions of customers worldwide.
Responsibilities
•Identify high-impact ML opportunities and influence stakeholders to prioritise and support them
•Design and develop scalable machine learning models, including classifiers, regressors, and rule-based systems
•Own the full ML lifecycle, from data exploration and feature engineering through model training, evaluation, and deployment
•Explain complex technical concepts to technical and non-technical stakeholders
•Set and guide technical direction across ML projects, aligning with technical best practices and business goals
•Mentor junior engineers and promote knowledge sharing and continuous improvement
Requirements
•Master's degree or equivalent in Machine Learning, Data Science, Statistics, Mathematics, Computer Science, or a related field
•7+ years of industry experience building and deploying ML models at scale
•Proven ability to lead cross-functional technical initiatives and influence engineering strategy
•Proficiency in Python, PyTorch, XGBoost, Scikit-learn, and SQL
•Strong experience with machine learning pipelines and orchestration tools such as Airflow, SageMaker Pipelines, or similar
•Deep understanding of machine learning fundamentals, including Large Language Models (LLMs) and emerging ML technologies
•Track record of shipping production-level ML products and maintaining high code quality
•Strong problem-solving skills and ability to scope complex ML projects into clear, achievable milestones
Nice to have
•Familiarity with MLflow, ZenML, or Metaflow
•Hands-on experience with AWS services such as EC2, EKS, CloudFormation, or Cognito
•Exposure to Kafka
•Contributions to open-source ML projects, or publications in ML conferences
Benefits
•Medical / Health Insurance
•Open Annual Leave
•Employee Assistance Programme
•Training & Learning Development
•Additional benefits vary by country and will be shared during the hiring process
