remote
Software Engineer - Aussizz
Software Engineer
Software Engineer focused on building scalable sports forecasting platforms using Python, machine learning, and data science techniques to deliver accurate predictive analytics for fan engagement and betting applications.
About the role
Key Responsibilities
- Design, develop, and maintain high‑performance backend services for sports forecasting and predictive analytics.
- Implement machine learning models and data pipelines to process large volumes of sports data.
- Collaborate with data scientists and product teams to translate business requirements into technical solutions.
- Optimize algorithms for scalability, reliability, and real‑time performance.
- Write clean, testable code and participate in code reviews.
Requirements
- Proficiency in Python and experience with ML libraries such as scikit‑learn, TensorFlow, or PyTorch.
- Strong background in data science, statistics, and predictive modeling.
- Experience with SQL and NoSQL databases for large‑scale data storage.
- Familiarity with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
- Excellent problem‑solving skills and a passion for sports analytics.
Skills
pythonmachine learning