About
Super Technologies is a global technology group building entertainment and fan-centric experiences. Its platform powers sports, gaming, and fan experiences, including online gambling and sports betting, with personalised experiences for millions of customers worldwide.
Responsibilities
•Design, develop, and deploy machine learning models to solve complex business problems
•Stay updated on developments in machine learning and AI
•Conduct code reviews and ensure best practices in model development and deployment
•Manage and prioritise machine learning projects in line with business goals
•Ensure timely delivery of high-quality machine learning solutions
•Coordinate with cross-functional teams to integrate machine learning models into production systems
•Lead and mentor a team of 4–5 data scientists and ML engineers
•Oversee the ML team's execution, development, growth, and performance
•Foster a collaborative and innovative team environment and build partnerships with product management and stakeholders
Requirements
•Master's or Ph.D. in Computer Science, Data Science, Machine Learning, or a related field
•4+ years of experience in machine learning and data science roles
•5+ years of experience leading and managing engineering teams
•Strong programming skills in Python
•Experience with TensorFlow, PyTorch, or JAX
•Experience with AWS and containerisation technologies such as Docker and Kubernetes
•Strong problem-solving, communication, and interpersonal skills; ability to work independently and collaboratively
Nice to have
•Experience in the gaming or entertainment industry
•Spark, Snowflake, Qwak, MLflow, and Airflow
•Contributions to open-source AI/ML projects or participation in AI/ML competitions such as Kaggle
•Experience training and fine-tuning large-scale foundation models such as GPT, BERT, and T5
•Publications in top AI conferences such as AAAI, IJCAI, NeurIPS, ICML, or ICLR
Conditions
•Location: Netherlands, Spain, United Kingdom, Romania
•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
