
AI Engineer – NFL Analytics
Overview: We are seeking a skilled AI Engineer to develop and optimize AI-driven tools for NFL analytics. You will be responsible for designing machine learning models and data pipelines that power our fantasy football and betting insights, leveraging internal player projections, external data sources, and natural language processing.
Key Responsibilities:
- Design and implement machine learning models for player projections, lineup optimization, and betting recommendations.
- Integrate external data sources (e.g., weather, game schedules, betting odds) to enhance AI-driven insights.
- Develop NLP-based solutions to enable interactive, data-driven fantasy football Q&A experiences.
- Collaborate with data engineers and product teams to scale AI solutions and improve model performance.
- Ensure AI models provide interpretable and actionable insights to end users.
Qualifications:
- Proven experience in AI/ML development, with a focus on predictive modeling and NLP.
- Strong proficiency in Python and relevant ML frameworks (TensorFlow, PyTorch, Scikit-learn).
- Experience working with sports analytics, betting data, or fantasy football platforms is a plus.
- Ability to process and analyze large datasets to drive AI-powered recommendations.
- Strong problem-solving skills and ability to work in a fast-paced environment.